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blog.pamelafox.org | ||
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newvick.com
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| | | | | Interpolating vector and lexical search gives better results than either alone | |
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ninkovic.dev
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| | | | | First part in the blog series of how to build a RAG (Retrieval Augmented Generation) system from scratch. Aimed at beginners, the blog will introduce you to foundational concepts and pieces which are needed to build such a system. The blog comes with code and step by step implementation. | |
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blog.pdebruin.org
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| | | | | Retrieval Augmented Generation Hackathon starts on September 3. Repo with more info, stream schedule, samples, registration: https://aka.ms/raghack Large language models are powerful language generators, but they don't know everything about the world. RAG combines the power of large language models with the knowledge of a search engine. This allows you to ask questions of your own data, and get answers that are relevant to the context of your question. LLM AI YouTube playlists Thanks for reading! :-) | |
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www.danieldemmel.me
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| | | Part two of the series Building applications using embeddings vector search and Large Language Models | ||
