Build Long-context RAG from scratch: Nomic Embeddings + Mistral The context window of open source LLMs and embedding models has been relatively small vs proprietary models. But, methods to expand context window (RoPE, self-extend) are quickly changing this. Today, @nomic_ai has
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Typo in launch script ruins overnight experiments
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One of the great pains in life is waking up and finding out the experiments i launched last night had a typo in the launch script
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LangSmith Test Run Charts Track Model Performance Across Revisions
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Track Eval Performance Across Revisions in LangSmith Want to make sure that performance on a benchmark dataset isn't degrading as you try new models, tweak the prompt, or change your retrieval strategy? This is now very easy to do with the introduction of test run charts in
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LangServe Frontend Integration with React and Tailwind CSS
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Chat With Your PDF Pt 2 of this series by @austinbv focuses on how to hook LangServe up to a full frontend Utilizes @tailwindcss and @reactjs Handles streaming of tokens & showing the retrieved documents
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Fine-tuning Mistral 7B with DPO dataset for improved chat performance
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I fine-tuned Mistral7Bv0.2 locally with MLX using this DPO dataset by @argilla_io
, composed of 7k chat interactions distilled from Capybara. I haven't done a full evaluation yet, but for this size, it's really good, and it understood this famous question right away! Link -
Nomic Launches langchain-nomic Python Package for Embeddings
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@nomic_ai Embeddings Today we're thrilled to unveil the new langchain-nomic Python package, which integrtes with Nomic's Embedding API. Experience the power of embedding models that deliver results competitive with OpenAI's new text-embedding-3 models.
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Custom LLM and AI Agents for Structured and Unstructured Data
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An AI Brain for your organization – custom LLM and AI Agents (RAG) on Structured + Unstructured Data Imagine having a ChatGPT-like interface over all your structured (database) and unstructured data. You can ask a question to an AI bot, and it can run multiple parallel queries,
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LangChain Expression Language: From POC to Production
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"LCEL provides a fresh perspective on LLM-based application development. I highly recommended using it for your next LLM project." Community member Tom Darmon wrote a great deep-dive on LangChain Expression Language (already 1.5k likes on Medium) https://
medium.com/artefact-engin
eering-and-data-science/unleashing-the-power-of-langchain-expression-language-lcel-from-proof-of-concept-to-production-8ad8eebdcb1d
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Beyond WCAG: Ethical Technology Development and Accessibility
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On Feb 8th, a new @A11YTalks is coming! Explore going beyond just meeting WCAG standards and instead, reach for a new way of thinking about technology, your place in its development, and your work overall.
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Sharing Python, Data Science, ML and LLM Content Daily
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That's a wrap! Every day, I share and simply content around Python, Data Science, Machine Learning & Large Language Models. Find me → @Sumanth_077 Like/RT the first tweet and help this reach more people.
