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klotz: retrieval-augmented generation* + ai*

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1. timescale/pgai: pgai on GitHub

   pgai brings AI workflows to your PostgreSQL database. It simplifies the process of building search and Retrieval Augmented Generation (RAG) AI applications with PostgreSQL by bringing embedding and generation AI models closer to the database.

   2024-06-21 Tags: pgai, postgresql, ai, database, embeddings, generation, rag, openai, ollama by klotz
2. Open-Source Models, Temperature Scaling, Re-Ranking, and More: Don’t Miss Our Recent LLM Must-Reads

   The Towards Data Science team highlights recent articles on the rise of open-source LLMs, ethical considerations with chatbots, potential manipulation of LLM recommendations, and techniques for temperature scaling and re-ranking in generative AI.

   2024-05-17 Tags: temperature scaling, re-ranking, llm, retrieval-augmented generation, retrieval, bi-encoders, cross-encoders, customer lifetime value, predictive methods, marketers, data scientists, statistical convergence, 19th-century shipwreck, transformer architecture, multi-classifier model, molecular biology, bioinformatics, ai, career transition, physics, data science by klotz

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