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classarticle-title text-xl font-semibold tracking-tight text-secondary-900 sm:text-2xl>Cookbook: How to set up Langchain tracing on Athina in 2 minutes/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-featured-article featured-article>a classarticle-cover aspect-w-2 aspect-h-1 block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /from-noise-to-clarity-unraveling-the-adversarial-suffix-of-large-language-model-attacks-via-translation-of-text-embeddings data-umami-href/from-noise-to-clarity-unraveling-the-adversarial-suffix-of-large-language-model-attacks-via-translation-of-text-embeddings href/from-noise-to-clarity-unraveling-the-adversarial-suffix-of-large-language-model-attacks-via-translation-of-text-embeddings>img altFrom Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F0868291a-0ff9-4143-ba76-7577ff430ca0%2FScreenshot_2024-04-16_at_4.53.01_PM.png?tableblock&idc6f886de-c322-404c-a5c5-938a1842484a&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /safety data-umami-href/safety href/safety>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Safety/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-04-16>Apr 16, 2024/time>/span>/div>a classblock mt-4 lg:pr-16 data-umami-eventClicked Link: /from-noise-to-clarity-unraveling-the-adversarial-suffix-of-large-language-model-attacks-via-translation-of-text-embeddings data-umami-href/from-noise-to-clarity-unraveling-the-adversarial-suffix-of-large-language-model-attacks-via-translation-of-text-embeddings href/from-noise-to-clarity-unraveling-the-adversarial-suffix-of-large-language-model-attacks-via-translation-of-text-embeddings>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900 sm:text-2xl>From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-featured-article featured-article>a classarticle-cover aspect-w-2 aspect-h-1 block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /ever-mitigating-hallucination-in-large-language-models-through-real-time-verification-and-rectification data-umami-href/ever-mitigating-hallucination-in-large-language-models-through-real-time-verification-and-rectification href/ever-mitigating-hallucination-in-large-language-models-through-real-time-verification-and-rectification>img altEver: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2Ff9ac5f95-9f2f-4407-853b-8a5a037d219d%2Fever.png?tableblock&idb9142a44-bd73-4965-9be0-4670fa9409b0&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /safety data-umami-href/safety href/safety>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Safety/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /hallucinations data-umami-href/hallucinations href/hallucinations>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Hallucinations/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-04-15>Apr 15, 2024/time>/span>/div>a classblock mt-4 lg:pr-16 data-umami-eventClicked Link: /ever-mitigating-hallucination-in-large-language-models-through-real-time-verification-and-rectification data-umami-href/ever-mitigating-hallucination-in-large-language-models-through-real-time-verification-and-rectification href/ever-mitigating-hallucination-in-large-language-models-through-real-time-verification-and-rectification>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900 sm:text-2xl>Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>The EVER (Real-Time Verification and Rectification) framework is designed to dynamically mitigate hallucinations during text generation by ensuring the accuracy and trustworthiness of each sentence before proceeding./p>/a>/div>div classsaas-featured-article featured-article>a classarticle-cover aspect-w-2 aspect-h-1 block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /breaking-down-the-defenses-a-comparative-survey-of-attacks-on-large-language-models data-umami-href/breaking-down-the-defenses-a-comparative-survey-of-attacks-on-large-language-models href/breaking-down-the-defenses-a-comparative-survey-of-attacks-on-large-language-models>img altBreaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F7beb0d0b-d689-4fb9-8b7c-2b889bdfdece%2FScreenshot_2024-04-06_at_7.26.32_AM.png?tableblock&id28094c7e-e027-4d95-ac18-a53b6d643bf9&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /safety data-umami-href/safety href/safety>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Safety/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-04-05>Apr 5, 2024/time>/span>/div>a classblock mt-4 lg:pr-16 data-umami-eventClicked Link: /breaking-down-the-defenses-a-comparative-survey-of-attacks-on-large-language-models data-umami-href/breaking-down-the-defenses-a-comparative-survey-of-attacks-on-large-language-models href/breaking-down-the-defenses-a-comparative-survey-of-attacks-on-large-language-models>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900 sm:text-2xl>Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-featured-article featured-article>a classarticle-cover aspect-w-2 aspect-h-1 block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /how-to-evaluate-your-llama-index-query-engine-using-ragas-evals-athina-ai data-umami-href/how-to-evaluate-your-llama-index-query-engine-using-ragas-evals-athina-ai href/how-to-evaluate-your-llama-index-query-engine-using-ragas-evals-athina-ai>img altHow to evaluate your Llama Index query engine using Ragas evals + Athina AI srchttps://images.unsplash.com/photo-1628540155297-1c88718c7213?ixlibrb-4.0.3&q85&fmjpg&cropentropy&cssrgb classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-03-13>Mar 13, 2024/time>/span>/div>a classblock mt-4 lg:pr-16 data-umami-eventClicked Link: /how-to-evaluate-your-llama-index-query-engine-using-ragas-evals-athina-ai data-umami-href/how-to-evaluate-your-llama-index-query-engine-using-ragas-evals-athina-ai href/how-to-evaluate-your-llama-index-query-engine-using-ragas-evals-athina-ai>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900 sm:text-2xl>How to evaluate your Llama Index query engine using Ragas evals + Athina AI/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>If you're using Llama Index to work with advanced retrieval strategies, you're going to need a great evaluation setup.Here's how you can use Athina's SDK to run Ragas evals on your Llama Index RAG pipeline./p>/a>/div>div classsaas-featured-article featured-article>a classarticle-cover aspect-w-2 aspect-h-1 block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /detect-llm-hallucinations-in-ci-/-cd-evaluate-your-rag-pipeline-using-github-actions-athina-/-ragas data-umami-href/detect-llm-hallucinations-in-ci-/-cd-evaluate-your-rag-pipeline-using-github-actions-athina-/-ragas href/detect-llm-hallucinations-in-ci-/-cd-evaluate-your-rag-pipeline-using-github-actions-athina-/-ragas>img altDetect LLM Hallucinations in CI / CD: Evaluate your RAG pipeline using GitHub Actions + Athina / Ragas srchttps://images.unsplash.com/photo-1553159925-02b2e24f471d?ixlibrb-4.0.3&q85&fmjpg&cropentropy&cssrgb classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /safety data-umami-href/safety href/safety>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Safety/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-03-05>Mar 5, 2024/time>/span>/div>a classblock mt-4 lg:pr-16 data-umami-eventClicked Link: /detect-llm-hallucinations-in-ci-/-cd-evaluate-your-rag-pipeline-using-github-actions-athina-/-ragas data-umami-href/detect-llm-hallucinations-in-ci-/-cd-evaluate-your-rag-pipeline-using-github-actions-athina-/-ragas href/detect-llm-hallucinations-in-ci-/-cd-evaluate-your-rag-pipeline-using-github-actions-athina-/-ragas>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900 sm:text-2xl>Detect LLM Hallucinations in CI / CD: Evaluate your RAG pipeline using GitHub Actions + Athina / Ragas/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-featured-article featured-article>a classarticle-cover aspect-w-2 aspect-h-1 block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /10-rules-for-llm-evaluation-what-we-learned-after-a-year-of-building data-umami-href/10-rules-for-llm-evaluation-what-we-learned-after-a-year-of-building href/10-rules-for-llm-evaluation-what-we-learned-after-a-year-of-building>img alt10 Rules for LLM Evaluation: What we learned after a year of building srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F45af63e9-41d5-4020-9b74-f87325101726%2Fevaluate.png?tableblock&id3532041d-00f8-4d81-9af0-738b3a112463&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-02-06>Feb 6, 2024/time>/span>/div>a classblock mt-4 lg:pr-16 data-umami-eventClicked Link: /10-rules-for-llm-evaluation-what-we-learned-after-a-year-of-building data-umami-href/10-rules-for-llm-evaluation-what-we-learned-after-a-year-of-building href/10-rules-for-llm-evaluation-what-we-learned-after-a-year-of-building>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900 sm:text-2xl>10 Rules for LLM Evaluation: What we learned after a year of building/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-featured-article featured-article>a classarticle-cover aspect-w-2 aspect-h-1 block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /text-summarization-llm-failure-cases-and-detection-methods data-umami-href/text-summarization-llm-failure-cases-and-detection-methods href/text-summarization-llm-failure-cases-and-detection-methods>img altText Summarization: LLM Failure Cases and Detection Methods srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F4b46b648-c72e-44fb-8768-2bedd4b8aca0%2Fsummarization.png?tableblock&id4a5fe8ed-98d6-4486-adfe-dbe79050172f&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2023-09-20>Sep 20, 2023/time>/span>/div>a classblock mt-4 lg:pr-16 data-umami-eventClicked Link: /text-summarization-llm-failure-cases-and-detection-methods data-umami-href/text-summarization-llm-failure-cases-and-detection-methods href/text-summarization-llm-failure-cases-and-detection-methods>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900 sm:text-2xl>Text Summarization: LLM Failure Cases and Detection Methods/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>/div>/div>/section>section classbg-secondary-50 py-12 sm:py-16 lg:py-20>div classmax-w-7xl mx-auto px-4 sm:px-6 lg:px-8>div classflex flex-col gap-16>div>div classflex flex-col gap-4 sm:flex-row sm:items-center sm:justify-between sm:gap-6>h2 classtext-2xl font-bold tracking-tight text-secondary-900 sm:text-3xl lg:text-4xl>Case Study/h2>div classshrink-0>a rolebutton classgroup inline-flex items-center justify-center bg-primary-500 text-base font-semibold text-primary-50 rounded-cta-button-radius px-4 py-2 hover:bg-primary-600 hover:text-secondary-100 focus:outline-none focus:ring-2 focus:ring-primary-500 focus:ring-offset-2 data-umami-eventClicked Link: /case-study data-umami-href/case-study href/case-study>View allsvg classh-5 w-5 ml-1 -mr-0.5 viewBox0 0 24 24 fillnone strokecurrentColor xmlnshttp://www.w3.org/2000/svg>path dM9 18L15 12L9 6 stroke-width2 stroke-linecapround stroke-linejoinround>/path>/svg>/a>/div>/div>div classgrid grid-cols-1 gap-12 mt-8 md:grid-cols-3 lg:mt-12 xl:gap-16>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai data-umami-href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai>img altHow E-com Giant Meesho Accelerated LLM Development Using Athina AI srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2Fa6987e0d-624a-4db7-bc5b-aa9e1523cf04%2FHow_MEESHO.png?tableblock&id120e5b97-1176-8063-b88b-deeded5a436e&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /case-study data-umami-href/case-study href/case-study>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Case Study/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2025-11-24T20:42:24.583Z>Nov 24, 2025/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai data-umami-href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>How E-com Giant Meesho Accelerated LLM Development Using Athina AI/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>/div>/div>hr classborder-secondary-200/>div>div classflex flex-col gap-4 sm:flex-row sm:items-center sm:justify-between sm:gap-6>h2 classtext-2xl font-bold tracking-tight text-secondary-900 sm:text-3xl lg:text-4xl>Evaluation/h2>div classshrink-0>a rolebutton classgroup inline-flex items-center justify-center bg-primary-500 text-base font-semibold text-primary-50 rounded-cta-button-radius px-4 py-2 hover:bg-primary-600 hover:text-secondary-100 focus:outline-none focus:ring-2 focus:ring-primary-500 focus:ring-offset-2 data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>View allsvg classh-5 w-5 ml-1 -mr-0.5 viewBox0 0 24 24 fillnone strokecurrentColor xmlnshttp://www.w3.org/2000/svg>path dM9 18L15 12L9 6 stroke-width2 stroke-linecapround stroke-linejoinround>/path>/svg>/a>/div>/div>div classgrid grid-cols-1 gap-12 mt-8 md:grid-cols-3 lg:mt-12 xl:gap-16>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /how-a-5b-insurance-provider-uses-llms-for-risk-underwriting data-umami-href/how-a-5b-insurance-provider-uses-llms-for-risk-underwriting href/how-a-5b-insurance-provider-uses-llms-for-risk-underwriting>img altHow a $5B Insurance Provider Uses LLMs for Risk Underwriting srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F71e224d4-dafb-4317-8775-e2854b8e12d6%2FBlue_Modern_Social_Media_Tips_LinkedIn_Carousel.png?tableblock&ide33a5517-ddbc-46dc-be2e-fcfa90d08b84&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /prompt-engineering data-umami-href/prompt-engineering href/prompt-engineering>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Prompt Engineering/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2025-11-24T20:42:24.583Z>Nov 24, 2025/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: 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items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Tutorial/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2025-11-24T20:42:24.583Z>Nov 24, 2025/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /building-an-ideal-tech-stack-for-llm-applications-from-scratch data-umami-href/building-an-ideal-tech-stack-for-llm-applications-from-scratch href/building-an-ideal-tech-stack-for-llm-applications-from-scratch>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>Building an Ideal Tech Stack for LLM Applications From Scratch/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai data-umami-href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai>img altHow E-com Giant Meesho Accelerated LLM Development Using Athina AI srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2Fa6987e0d-624a-4db7-bc5b-aa9e1523cf04%2FHow_MEESHO.png?tableblock&id120e5b97-1176-8063-b88b-deeded5a436e&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /case-study data-umami-href/case-study href/case-study>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Case Study/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2025-11-24T20:42:24.583Z>Nov 24, 2025/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai data-umami-href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>How E-com Giant Meesho Accelerated LLM Development Using Athina AI/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>/div>/div>hr classborder-secondary-200/>div>div classflex flex-col gap-4 sm:flex-row sm:items-center sm:justify-between sm:gap-6>h2 classtext-2xl font-bold tracking-tight text-secondary-900 sm:text-3xl lg:text-4xl>Athina/h2>div classshrink-0>a rolebutton classgroup inline-flex items-center justify-center bg-primary-500 text-base font-semibold text-primary-50 rounded-cta-button-radius px-4 py-2 hover:bg-primary-600 hover:text-secondary-100 focus:outline-none focus:ring-2 focus:ring-primary-500 focus:ring-offset-2 data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>View allsvg classh-5 w-5 ml-1 -mr-0.5 viewBox0 0 24 24 fillnone strokecurrentColor xmlnshttp://www.w3.org/2000/svg>path dM9 18L15 12L9 6 stroke-width2 stroke-linecapround stroke-linejoinround>/path>/svg>/a>/div>/div>div classgrid grid-cols-1 gap-12 mt-8 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href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /prompt-engineering data-umami-href/prompt-engineering href/prompt-engineering>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Prompt Engineering/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2025-11-24T20:42:24.583Z>Nov 24, 2025/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /how-a-5b-insurance-provider-uses-llms-for-risk-underwriting data-umami-href/how-a-5b-insurance-provider-uses-llms-for-risk-underwriting href/how-a-5b-insurance-provider-uses-llms-for-risk-underwriting>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>How a $5B Insurance Provider Uses LLMs for Risk Underwriting/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai data-umami-href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai>img altHow E-com Giant Meesho Accelerated LLM Development Using Athina AI srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2Fa6987e0d-624a-4db7-bc5b-aa9e1523cf04%2FHow_MEESHO.png?tableblock&id120e5b97-1176-8063-b88b-deeded5a436e&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /case-study data-umami-href/case-study href/case-study>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Case Study/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span 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inline-block data-umami-eventClicked Link: /prompt-engineering data-umami-href/prompt-engineering href/prompt-engineering>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Prompt Engineering/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-08-03>Aug 3, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /5-advanced-prompting-techniques-to-improve-your-llm-app-s-responses data-umami-href/5-advanced-prompting-techniques-to-improve-your-llm-app-s-responses href/5-advanced-prompting-techniques-to-improve-your-llm-app-s-responses>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>5 Advanced Prompting Techniques to Improve Your LLM App’s Responses/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>/div>/div>hr classborder-secondary-200/>div>div classflex flex-col gap-4 sm:flex-row sm:items-center sm:justify-between sm:gap-6>h2 classtext-2xl font-bold tracking-tight text-secondary-900 sm:text-3xl lg:text-4xl>Prompt Engineering/h2>div classshrink-0>a rolebutton classgroup inline-flex items-center justify-center bg-primary-500 text-base font-semibold text-primary-50 rounded-cta-button-radius px-4 py-2 hover:bg-primary-600 hover:text-secondary-100 focus:outline-none focus:ring-2 focus:ring-primary-500 focus:ring-offset-2 data-umami-eventClicked Link: /prompt-engineering data-umami-href/prompt-engineering href/prompt-engineering>View allsvg classh-5 w-5 ml-1 -mr-0.5 viewBox0 0 24 24 fillnone strokecurrentColor xmlnshttp://www.w3.org/2000/svg>path dM9 18L15 12L9 6 stroke-width2 stroke-linecapround stroke-linejoinround>/path>/svg>/a>/div>/div>div classgrid grid-cols-1 gap-12 mt-8 md:grid-cols-3 lg:mt-12 xl:gap-16>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /how-a-5b-insurance-provider-uses-llms-for-risk-underwriting data-umami-href/how-a-5b-insurance-provider-uses-llms-for-risk-underwriting href/how-a-5b-insurance-provider-uses-llms-for-risk-underwriting>img altHow a $5B Insurance Provider Uses LLMs for Risk Underwriting srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F71e224d4-dafb-4317-8775-e2854b8e12d6%2FBlue_Modern_Social_Media_Tips_LinkedIn_Carousel.png?tableblock&ide33a5517-ddbc-46dc-be2e-fcfa90d08b84&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /prompt-engineering data-umami-href/prompt-engineering href/prompt-engineering>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Prompt Engineering/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2025-11-24T20:42:24.583Z>Nov 24, 2025/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /how-a-5b-insurance-provider-uses-llms-for-risk-underwriting data-umami-href/how-a-5b-insurance-provider-uses-llms-for-risk-underwriting href/how-a-5b-insurance-provider-uses-llms-for-risk-underwriting>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>How a $5B Insurance Provider Uses LLMs for Risk Underwriting/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /reflexion-language-agents-with-verbal-reinforcement-learning data-umami-href/reflexion-language-agents-with-verbal-reinforcement-learning href/reflexion-language-agents-with-verbal-reinforcement-learning>img altReflexion: Language Agents with Verbal Reinforcement Learning srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F433e092a-712a-4cdf-a713-008088d9c22c%2FScreenshot_2024-03-30_at_6.00.05_AM.png?tableblock&ida5e83197-8875-4dbc-afa1-232def154f5c&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /prompt-engineering data-umami-href/prompt-engineering href/prompt-engineering>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Prompt Engineering/span>/a>/div>span 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data-umami-href/5-advanced-prompting-techniques-to-improve-your-llm-app-s-responses href/5-advanced-prompting-techniques-to-improve-your-llm-app-s-responses>img alt5 Advanced Prompting Techniques to Improve Your LLM App’s Responses srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F9ee10b56-17f5-493b-84d9-18563a175f10%2Fprompt-engineering-cover.png?tableblock&id24ade3f1-2a3c-423d-bc50-38bdb6802a68&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /prompt-engineering data-umami-href/prompt-engineering href/prompt-engineering>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Prompt Engineering/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-08-03>Aug 3, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /5-advanced-prompting-techniques-to-improve-your-llm-app-s-responses data-umami-href/5-advanced-prompting-techniques-to-improve-your-llm-app-s-responses href/5-advanced-prompting-techniques-to-improve-your-llm-app-s-responses>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>5 Advanced Prompting Techniques to Improve Your LLM App’s Responses/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>/div>/div>hr classborder-secondary-200/>div>div classflex flex-col gap-4 sm:flex-row sm:items-center sm:justify-between sm:gap-6>h2 classtext-2xl font-bold tracking-tight text-secondary-900 sm:text-3xl lg:text-4xl>Hallucinations/h2>div classshrink-0>a rolebutton classgroup inline-flex items-center justify-center bg-primary-500 text-base font-semibold text-primary-50 rounded-cta-button-radius px-4 py-2 hover:bg-primary-600 hover:text-secondary-100 focus:outline-none focus:ring-2 focus:ring-primary-500 focus:ring-offset-2 data-umami-eventClicked Link: /hallucinations data-umami-href/hallucinations href/hallucinations>View allsvg classh-5 w-5 ml-1 -mr-0.5 viewBox0 0 24 24 fillnone strokecurrentColor xmlnshttp://www.w3.org/2000/svg>path dM9 18L15 12L9 6 stroke-width2 stroke-linecapround stroke-linejoinround>/path>/svg>/a>/div>/div>div classgrid grid-cols-1 gap-12 mt-8 md:grid-cols-3 lg:mt-12 xl:gap-16>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /how-to-use-a-custom-grading-criteria-to-evaluate-llm-responses-llm-as-a-judge data-umami-href/how-to-use-a-custom-grading-criteria-to-evaluate-llm-responses-llm-as-a-judge href/how-to-use-a-custom-grading-criteria-to-evaluate-llm-responses-llm-as-a-judge>img altHow to Use a Custom Grading Criteria to Evaluate LLM Responses (LLM-as-a-Judge) srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2Fac2f4581-592d-4cf7-b58f-98d25b7af153%2FScreenshot_2024-04-22_at_6.09.46_PM.png?tableblock&idf694dd6b-e874-4a48-b2fe-f3787009c188&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /hallucinations data-umami-href/hallucinations href/hallucinations>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Hallucinations/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-04-17>Apr 17, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /how-to-use-a-custom-grading-criteria-to-evaluate-llm-responses-llm-as-a-judge data-umami-href/how-to-use-a-custom-grading-criteria-to-evaluate-llm-responses-llm-as-a-judge href/how-to-use-a-custom-grading-criteria-to-evaluate-llm-responses-llm-as-a-judge>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>How to Use a Custom Grading Criteria to Evaluate LLM Responses (LLM-as-a-Judge)/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /ever-mitigating-hallucination-in-large-language-models-through-real-time-verification-and-rectification data-umami-href/ever-mitigating-hallucination-in-large-language-models-through-real-time-verification-and-rectification href/ever-mitigating-hallucination-in-large-language-models-through-real-time-verification-and-rectification>img altEver: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2Ff9ac5f95-9f2f-4407-853b-8a5a037d219d%2Fever.png?tableblock&idb9142a44-bd73-4965-9be0-4670fa9409b0&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /safety data-umami-href/safety href/safety>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Safety/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /hallucinations data-umami-href/hallucinations href/hallucinations>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Hallucinations/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-04-15>Apr 15, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /ever-mitigating-hallucination-in-large-language-models-through-real-time-verification-and-rectification data-umami-href/ever-mitigating-hallucination-in-large-language-models-through-real-time-verification-and-rectification href/ever-mitigating-hallucination-in-large-language-models-through-real-time-verification-and-rectification>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>The EVER (Real-Time Verification and Rectification) framework is designed to dynamically mitigate hallucinations during text generation by ensuring the accuracy and trustworthiness of each sentence before proceeding./p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /anomalyclip-object-agnostic-prompt-learning-for-zero-shot-anomaly-detection data-umami-href/anomalyclip-object-agnostic-prompt-learning-for-zero-shot-anomaly-detection href/anomalyclip-object-agnostic-prompt-learning-for-zero-shot-anomaly-detection>img altAnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2Fd19255a9-f11e-4809-8c75-a723d88198d5%2F20.png?tableblock&idd54537e3-cacf-408d-91dd-f7da05887453&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /hallucinations data-umami-href/hallucinations href/hallucinations>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Hallucinations/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-03-16>Mar 16, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /anomalyclip-object-agnostic-prompt-learning-for-zero-shot-anomaly-detection data-umami-href/anomalyclip-object-agnostic-prompt-learning-for-zero-shot-anomaly-detection href/anomalyclip-object-agnostic-prompt-learning-for-zero-shot-anomaly-detection>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>/div>/div>hr classborder-secondary-200/>div>div classflex flex-col gap-4 sm:flex-row sm:items-center sm:justify-between sm:gap-6>h2 classtext-2xl font-bold tracking-tight text-secondary-900 sm:text-3xl lg:text-4xl>Research Paper/h2>div classshrink-0>a rolebutton classgroup inline-flex items-center justify-center bg-primary-500 text-base font-semibold text-primary-50 rounded-cta-button-radius px-4 py-2 hover:bg-primary-600 hover:text-secondary-100 focus:outline-none focus:ring-2 focus:ring-primary-500 focus:ring-offset-2 data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>View allsvg classh-5 w-5 ml-1 -mr-0.5 viewBox0 0 24 24 fillnone strokecurrentColor xmlnshttp://www.w3.org/2000/svg>path dM9 18L15 12L9 6 stroke-width2 stroke-linecapround stroke-linejoinround>/path>/svg>/a>/div>/div>div classgrid grid-cols-1 gap-12 mt-8 md:grid-cols-3 lg:mt-12 xl:gap-16>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /reflexion-language-agents-with-verbal-reinforcement-learning data-umami-href/reflexion-language-agents-with-verbal-reinforcement-learning href/reflexion-language-agents-with-verbal-reinforcement-learning>img altReflexion: Language Agents with Verbal Reinforcement Learning srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F433e092a-712a-4cdf-a713-008088d9c22c%2FScreenshot_2024-03-30_at_6.00.05_AM.png?tableblock&ida5e83197-8875-4dbc-afa1-232def154f5c&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /prompt-engineering data-umami-href/prompt-engineering href/prompt-engineering>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Prompt Engineering/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2025-11-24T20:42:24.583Z>Nov 24, 2025/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /reflexion-language-agents-with-verbal-reinforcement-learning data-umami-href/reflexion-language-agents-with-verbal-reinforcement-learning href/reflexion-language-agents-with-verbal-reinforcement-learning>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>Reflexion: Language Agents with Verbal Reinforcement Learning/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /llm-critics-help-catch-llm-bugs data-umami-href/llm-critics-help-catch-llm-bugs href/llm-critics-help-catch-llm-bugs>img altLLM Critics Help Catch LLM Bugs srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F841c5353-3b47-41ab-b1bd-31c2c637496a%2FScreenshot_2024-06-28_at_3.40.41_AM.png?tableblock&idbea3356a-2290-4c07-aa01-e897a09e45e5&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-06-28>Jun 28, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /llm-critics-help-catch-llm-bugs data-umami-href/llm-critics-help-catch-llm-bugs href/llm-critics-help-catch-llm-bugs>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>LLM Critics Help Catch LLM Bugs/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /lmpt-prompt-tuning-with-class-specific-embedding-loss-for-long-tailed-multi-label-visual-recognition data-umami-href/lmpt-prompt-tuning-with-class-specific-embedding-loss-for-long-tailed-multi-label-visual-recognition href/lmpt-prompt-tuning-with-class-specific-embedding-loss-for-long-tailed-multi-label-visual-recognition>img altLMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F896c9dbf-a6a2-4dba-9e6e-480aeb77f689%2F9.png?tableblock&id5c368c11-c001-4cf5-8977-6d49b86de651&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /prompt-engineering data-umami-href/prompt-engineering href/prompt-engineering>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Prompt Engineering/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-06-18>Jun 18, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /lmpt-prompt-tuning-with-class-specific-embedding-loss-for-long-tailed-multi-label-visual-recognition data-umami-href/lmpt-prompt-tuning-with-class-specific-embedding-loss-for-long-tailed-multi-label-visual-recognition href/lmpt-prompt-tuning-with-class-specific-embedding-loss-for-long-tailed-multi-label-visual-recognition>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>/div>/div>hr classborder-secondary-200/>div>div classflex flex-col gap-4 sm:flex-row sm:items-center sm:justify-between sm:gap-6>h2 classtext-2xl font-bold tracking-tight text-secondary-900 sm:text-3xl lg:text-4xl>Fine Tuning/h2>div classshrink-0>a rolebutton classgroup inline-flex items-center justify-center bg-primary-500 text-base font-semibold text-primary-50 rounded-cta-button-radius px-4 py-2 hover:bg-primary-600 hover:text-secondary-100 focus:outline-none focus:ring-2 focus:ring-primary-500 focus:ring-offset-2 data-umami-eventClicked Link: /fine-tuning data-umami-href/fine-tuning href/fine-tuning>View allsvg classh-5 w-5 ml-1 -mr-0.5 viewBox0 0 24 24 fillnone strokecurrentColor xmlnshttp://www.w3.org/2000/svg>path dM9 18L15 12L9 6 stroke-width2 stroke-linecapround stroke-linejoinround>/path>/svg>/a>/div>/div>div classgrid grid-cols-1 gap-12 mt-8 md:grid-cols-3 lg:mt-12 xl:gap-16>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /direct-preference-optimization-your-language-model-is-secretly-a-reward-model data-umami-href/direct-preference-optimization-your-language-model-is-secretly-a-reward-model href/direct-preference-optimization-your-language-model-is-secretly-a-reward-model>img altDirect Preference Optimization: Your Language Model is Secretly a Reward Model srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2Fe441acc2-db70-4ad9-840d-eeada7b63453%2FScreenshot_2024-04-16_at_7.04.33_PM.png?tableblock&id09ae52bb-f3fd-4812-bc92-148fba6284f8&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /fine-tuning data-umami-href/fine-tuning href/fine-tuning>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Fine Tuning/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-04-11>Apr 11, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /direct-preference-optimization-your-language-model-is-secretly-a-reward-model data-umami-href/direct-preference-optimization-your-language-model-is-secretly-a-reward-model href/direct-preference-optimization-your-language-model-is-secretly-a-reward-model>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>Direct Preference Optimization: Your Language Model is Secretly a Reward Model/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /badclip-trigger-aware-prompt-learning-for-backdoor-attacks-on-clip data-umami-href/badclip-trigger-aware-prompt-learning-for-backdoor-attacks-on-clip href/badclip-trigger-aware-prompt-learning-for-backdoor-attacks-on-clip>img altBadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2Fa4d88712-27ef-483c-a5fa-0592386e424d%2F5.png?tableblock&id1465afcd-274f-405e-92cf-c8a6472e467f&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /fine-tuning data-umami-href/fine-tuning href/fine-tuning>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Fine Tuning/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-03-22>Mar 22, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /badclip-trigger-aware-prompt-learning-for-backdoor-attacks-on-clip data-umami-href/badclip-trigger-aware-prompt-learning-for-backdoor-attacks-on-clip href/badclip-trigger-aware-prompt-learning-for-backdoor-attacks-on-clip>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /tcp-textual-based-class-aware-prompt-tuning-for-visual-language-model data-umami-href/tcp-textual-based-class-aware-prompt-tuning-for-visual-language-model href/tcp-textual-based-class-aware-prompt-tuning-for-visual-language-model>img altTCP:Textual-based Class-aware Prompt tuning for Visual-Language Model srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F6af13088-b452-4f6a-ba4f-ea417a53b58f%2F9.png?tableblock&ida7dfaca8-5cf8-4ea1-9d3b-302a74bb6d4c&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /fine-tuning data-umami-href/fine-tuning href/fine-tuning>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Fine Tuning/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-03-13>Mar 13, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /tcp-textual-based-class-aware-prompt-tuning-for-visual-language-model data-umami-href/tcp-textual-based-class-aware-prompt-tuning-for-visual-language-model href/tcp-textual-based-class-aware-prompt-tuning-for-visual-language-model>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>/div>/div>hr classborder-secondary-200/>div>div classflex flex-col gap-4 sm:flex-row sm:items-center sm:justify-between sm:gap-6>h2 classtext-2xl font-bold tracking-tight text-secondary-900 sm:text-3xl lg:text-4xl>RAG/h2>div classshrink-0>a rolebutton classgroup inline-flex items-center justify-center bg-primary-500 text-base font-semibold text-primary-50 rounded-cta-button-radius px-4 py-2 hover:bg-primary-600 hover:text-secondary-100 focus:outline-none focus:ring-2 focus:ring-primary-500 focus:ring-offset-2 data-umami-eventClicked Link: /rag data-umami-href/rag href/rag>View allsvg classh-5 w-5 ml-1 -mr-0.5 viewBox0 0 24 24 fillnone strokecurrentColor xmlnshttp://www.w3.org/2000/svg>path dM9 18L15 12L9 6 stroke-width2 stroke-linecapround stroke-linejoinround>/path>/svg>/a>/div>/div>div classgrid grid-cols-1 gap-12 mt-8 md:grid-cols-3 lg:mt-12 xl:gap-16>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /building-an-ideal-tech-stack-for-llm-applications-from-scratch data-umami-href/building-an-ideal-tech-stack-for-llm-applications-from-scratch href/building-an-ideal-tech-stack-for-llm-applications-from-scratch>img altBuilding an Ideal Tech Stack for LLM Applications From Scratch srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2Ff513a66e-e818-43c2-b7ea-447e505333fb%2Ftech_stack.png?tableblock&iddf7a4f28-304e-4e3f-aa6d-31dd4f8472dd&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /rag data-umami-href/rag href/rag>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>RAG/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /tutorial data-umami-href/tutorial href/tutorial>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Tutorial/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2025-11-24T20:42:24.583Z>Nov 24, 2025/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /building-an-ideal-tech-stack-for-llm-applications-from-scratch data-umami-href/building-an-ideal-tech-stack-for-llm-applications-from-scratch href/building-an-ideal-tech-stack-for-llm-applications-from-scratch>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>Building an Ideal Tech Stack for LLM Applications From Scratch/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /a-practical-guide-to-measure-and-improve-retrieval-in-a-rag-based-llm-application data-umami-href/a-practical-guide-to-measure-and-improve-retrieval-in-a-rag-based-llm-application href/a-practical-guide-to-measure-and-improve-retrieval-in-a-rag-based-llm-application>img altA Practical Guide to Measure and Improve Retrieval in a RAG-based LLM Application srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F17f0bdd1-2d55-4b42-9eb9-1f56c83ab971%2FScreenshot_2024-06-10_at_8.23.33_PM.png?tableblock&id57bd1b21-8701-42da-aac7-634c1492fe5f&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /rag data-umami-href/rag href/rag>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>RAG/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-06-11>Jun 11, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /a-practical-guide-to-measure-and-improve-retrieval-in-a-rag-based-llm-application data-umami-href/a-practical-guide-to-measure-and-improve-retrieval-in-a-rag-based-llm-application href/a-practical-guide-to-measure-and-improve-retrieval-in-a-rag-based-llm-application>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>A Practical Guide to Measure and Improve Retrieval in a RAG-based LLM Application/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /rnns-are-not-transformers-yet-the-key-bottleneck-on-in-context-retrieval data-umami-href/rnns-are-not-transformers-yet-the-key-bottleneck-on-in-context-retrieval href/rnns-are-not-transformers-yet-the-key-bottleneck-on-in-context-retrieval>img altRNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F0fe834c2-89dc-451f-94fc-45ca6f1d3a51%2F4.png?tableblock&id583b9307-6192-4de1-8a9a-d38a860de2d0&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /rag data-umami-href/rag href/rag>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>RAG/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-05-10>May 10, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /rnns-are-not-transformers-yet-the-key-bottleneck-on-in-context-retrieval data-umami-href/rnns-are-not-transformers-yet-the-key-bottleneck-on-in-context-retrieval href/rnns-are-not-transformers-yet-the-key-bottleneck-on-in-context-retrieval>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>/div>/div>/div>/div>/section>section classbg-white py-12 sm:py-16 lg:py-20>div classmax-w-7xl mx-auto px-4 sm:px-6 lg:px-8>form methodget action/?page1 classflex flex-wrap items-center gap-1>input typehidden namepage value1/>button typesubmit nametag valueall-tags classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 bg-primary-50 text-primary-500 border border-primary-50 aria-currentpage>All Tags/button>button typesubmit nametag valuesafety classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>Safety/button>button typesubmit nametag valuefoundation-model classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>Foundation Model/button>button typesubmit nametag valuecase-study classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>Case Study/button>button typesubmit nametag valuetutorial classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>Tutorial/button>button typesubmit nametag valueevaluation classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>Evaluation/button>button typesubmit nametag valueathina classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>Athina/button>button typesubmit nametag valueprompt-engineering classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>Prompt Engineering/button>button typesubmit nametag valuedataset-generation classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>Dataset Generation/button>button typesubmit nametag valuelangchain classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>Langchain/button>button typesubmit nametag valuehallucinations classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>Hallucinations/button>button typesubmit nametag valueresearch-paper classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>Research Paper/button>button typesubmit nametag valuereasoning classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>Reasoning/button>button typesubmit nametag valuefine-tuning classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>Fine Tuning/button>button typesubmit nametag valuerag classinline-block text-base font-semibold transition-all duration-200 rounded-full px-4 py-2 text-secondary-700 hover:bg-secondary-100 hover:text-secondary-900>RAG/button>/form>div classarticles-grid grid grid-cols-1 gap-12 mt-8 sm:grid-cols-2 lg:grid-cols-3 lg:mt-12 xl:gap-16>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /how-a-5b-insurance-provider-uses-llms-for-risk-underwriting data-umami-href/how-a-5b-insurance-provider-uses-llms-for-risk-underwriting href/how-a-5b-insurance-provider-uses-llms-for-risk-underwriting>img altHow a $5B Insurance Provider Uses LLMs for Risk Underwriting srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F71e224d4-dafb-4317-8775-e2854b8e12d6%2FBlue_Modern_Social_Media_Tips_LinkedIn_Carousel.png?tableblock&ide33a5517-ddbc-46dc-be2e-fcfa90d08b84&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /prompt-engineering data-umami-href/prompt-engineering href/prompt-engineering>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Prompt Engineering/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2025-11-24T20:42:24.583Z>Nov 24, 2025/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /how-a-5b-insurance-provider-uses-llms-for-risk-underwriting data-umami-href/how-a-5b-insurance-provider-uses-llms-for-risk-underwriting href/how-a-5b-insurance-provider-uses-llms-for-risk-underwriting>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>How a $5B Insurance Provider Uses LLMs for Risk Underwriting/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /building-an-ideal-tech-stack-for-llm-applications-from-scratch data-umami-href/building-an-ideal-tech-stack-for-llm-applications-from-scratch href/building-an-ideal-tech-stack-for-llm-applications-from-scratch>img altBuilding an Ideal Tech Stack for LLM Applications From Scratch srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2Ff513a66e-e818-43c2-b7ea-447e505333fb%2Ftech_stack.png?tableblock&iddf7a4f28-304e-4e3f-aa6d-31dd4f8472dd&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /rag data-umami-href/rag href/rag>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>RAG/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /tutorial data-umami-href/tutorial href/tutorial>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Tutorial/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2025-11-24T20:42:24.583Z>Nov 24, 2025/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /building-an-ideal-tech-stack-for-llm-applications-from-scratch data-umami-href/building-an-ideal-tech-stack-for-llm-applications-from-scratch href/building-an-ideal-tech-stack-for-llm-applications-from-scratch>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>Building an Ideal Tech Stack for LLM Applications From Scratch/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai data-umami-href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai>img altHow E-com Giant Meesho Accelerated LLM Development Using Athina AI srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2Fa6987e0d-624a-4db7-bc5b-aa9e1523cf04%2FHow_MEESHO.png?tableblock&id120e5b97-1176-8063-b88b-deeded5a436e&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /case-study data-umami-href/case-study href/case-study>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Case Study/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /evaluation data-umami-href/evaluation href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2025-11-24T20:42:24.583Z>Nov 24, 2025/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai data-umami-href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai href/how-e-com-giant-meesho-accelerated-llm-development-using-athina-ai>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>How E-com Giant Meesho Accelerated LLM Development Using Athina AI/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /reflexion-language-agents-with-verbal-reinforcement-learning data-umami-href/reflexion-language-agents-with-verbal-reinforcement-learning href/reflexion-language-agents-with-verbal-reinforcement-learning>img altReflexion: Language Agents with Verbal Reinforcement Learning srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F433e092a-712a-4cdf-a713-008088d9c22c%2FScreenshot_2024-03-30_at_6.00.05_AM.png?tableblock&ida5e83197-8875-4dbc-afa1-232def154f5c&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Research Paper/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /prompt-engineering data-umami-href/prompt-engineering href/prompt-engineering>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Prompt Engineering/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2025-11-24T20:42:24.583Z>Nov 24, 2025/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /reflexion-language-agents-with-verbal-reinforcement-learning data-umami-href/reflexion-language-agents-with-verbal-reinforcement-learning href/reflexion-language-agents-with-verbal-reinforcement-learning>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>Reflexion: Language Agents with Verbal Reinforcement Learning/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /5-advanced-prompting-techniques-to-improve-your-llm-app-s-responses 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href/prompt-engineering>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Prompt Engineering/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-08-03>Aug 3, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /5-advanced-prompting-techniques-to-improve-your-llm-app-s-responses data-umami-href/5-advanced-prompting-techniques-to-improve-your-llm-app-s-responses href/5-advanced-prompting-techniques-to-improve-your-llm-app-s-responses>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>5 Advanced Prompting Techniques to Improve Your LLM App’s Responses/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md 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href/evaluation>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Evaluation/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm text-secondary-500>time dateTime2024-06-28>Jun 28, 2024/time>/span>/div>a classblock mt-4 data-umami-eventClicked Link: /llm-critics-help-catch-llm-bugs data-umami-href/llm-critics-help-catch-llm-bugs href/llm-critics-help-catch-llm-bugs>h3 classarticle-title text-xl font-semibold tracking-tight text-secondary-900>LLM Critics Help Catch LLM Bugs/h3>p classarticle-excerpt !hidden text-base font-medium text-secondary-500 line-clamp-2 mt-3>/p>/a>/div>div classsaas-article>a classarticle-cover aspect-w-2 aspect-h-1 relative block overflow-hidden bg-secondary-200 shadow-md rounded-2xl data-umami-eventClicked Link: /introducing-athina-prompt-management-a-powerful-and-flexible-prompt-playground-and-cms 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/lmpt-prompt-tuning-with-class-specific-embedding-loss-for-long-tailed-multi-label-visual-recognition data-umami-href/lmpt-prompt-tuning-with-class-specific-embedding-loss-for-long-tailed-multi-label-visual-recognition href/lmpt-prompt-tuning-with-class-specific-embedding-loss-for-long-tailed-multi-label-visual-recognition>img altLMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F896c9dbf-a6a2-4dba-9e6e-480aeb77f689%2F9.png?tableblock&id5c368c11-c001-4cf5-8977-6d49b86de651&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /research-paper data-umami-href/research-paper href/research-paper>span classinline-flex items-center bg-primary-100 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srchttps://www.notion.so/image/https:%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F3068bd9e-92f6-4a05-b487-82947771da91%2F17f0bdd1-2d55-4b42-9eb9-1f56c83ab971%2FScreenshot_2024-06-10_at_8.23.33_PM.png?tableblock&id57bd1b21-8701-42da-aac7-634c1492fe5f&cachev2 classh-full w-full object-cover/>/a>div classflex flex-wrap items-center gap-x-3 gap-y-2 mt-4>div classarticle-tags-list flex flex-wrap items-center gap-2>a classarticle-tag inline-block data-umami-eventClicked Link: /athina data-umami-href/athina href/athina>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>Athina/span>/a>a classarticle-tag inline-block data-umami-eventClicked Link: /rag data-umami-href/rag href/rag>span classinline-flex items-center bg-primary-100 text-sm font-medium text-primary-800 rounded-full px-3 py-0.5>RAG/span>/a>/div>span classarticle-publish-date-separator text-sm text-secondary-500>•/span>span classarticle-publish-date text-sm 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