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www.confident-ai.com | ||
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simonwillison.net
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| | | | | Retrieval Augmented Generation (RAG) is a technique for adding extra "knowledge" to systems built on LLMs, allowing them to answer questions against custom information not included in their training data. ... | |
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martinfowler.com
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| | | | | Patterns from our colleagues' work building with Generative AI | |
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bdtechtalks.com
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| | | | | Retrieval augmented generation (RAG) enables you to use custom documents with LLMs to improve their precision. | |
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electricarchaeology.ca
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| | | HAL9000 imagined as an archaeologist, via DiffusionBee cross-posted from the XLab blog If you take a bunch of text, and drop it through a large language model, you can get what is called an 'embedding' - a mathematical representation of where that text, that idea you wrote, is located within what the model 'knows'. Other... | ||