LangChain & Redis over Financial PDFs Excited to work with the @Redisinc team to create a RAG template for developers to chat with public financial PDF documents such as Nike’s 10k filings. The application uses: FastAPI and Uvicorn to serve client requests via HTTP
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SQL Research Assistant: Complex Question Answering Over Data Tables
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SQL Research Assistant Lots of data is locked in SQL tables Most text-to-SQL apps try to convert a user question to a single SQL statement – but that often isn't enough for complex questions So how we enable more complex question answering over SQL tables? We've
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Fine-tuning Mixtral 8x7B with Ludwig AI: Easy Optimization
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Ready to fine-tune the hottest new open-source LLM—#Mixtral 8x7B—with best practice #optimizations in just a few lines of code? We got you covered! Read our tutorial to see how easy & efficient it is to #finetune Mixtral w/ open-source @ludwig_ai https://
pbase.ai/4audc8U -
Question Answering Documents Using LangChain Vertex AI
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Question Answering with Documents using LangChain and Vertex AI Matching Engine Learn how to use Vertex AI Matching Engine to ground your LLM in company documents Ingestion and generation powered by LangChain Code: https://
github.com/GoogleCloudPla
tform/generative-ai/blob/main/language/use-cases/document-qa/question_answering_documents_langchain_matching_engine.ipynb
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Free RAG Course Available from Gen AI 360 Certification Program
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► Jump on our free RAG course from the Gen AI 360 Foundational Model Certification (Built in collaboration with Activeloop, Towards AI, and the Intel Disruptor Initiative): https://
learn.activeloop.ai/courses/rag -
Advanced RAG Applications with LangChain, Llama Index, Deep Memory
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We go beyond basic RAG applications, equipping you with the skills to create more complex, reliable products with tools like @langchain
, @llama_index (with insights from @jerryjliu0
), and Deep Memory. Whether you're a beginner or professional, join us to elevate your AI skills! -
New RAG Course with LangChain and LlamaIndex
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Retrieval Augmented Generation (RAG) for Production with LangChain & LlamaIndex Course Introducing our new comprehensive course on Retrieval Augmented Generation (RAG), brought to you by @activeloop, @towards_AI, and the Intel Disruptor Initiative! https://youtu.be/Rw_cjjKncvg
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New Commercial Terms and Messages API Beta Launch
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We’re introducing new, simplified Commercial Terms of Service for our customers with an expanded copyright indemnity, plus an improved developer experience with our beta Messages API. Read more in our blog post:
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Claude Messages API Helps Developers Catch Errors Early
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Our new Messages API helps developers catch errors early, especially when constructing prompts, so they can get the best outputs from Claude. This includes support for text-in-text-out, streaming and pre-filled Assistant text, as well as our Python and TypeScript SDKs.
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LCM and Turbo Models Guide for Stable Diffusion
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A new section in our stable diffusion guide – a one page explainer on LCM, LCM Loras and Turbo models: https://
replicate.com/guides/stable-
diffusion/turbo-and-latent-consistency
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