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Source channel @githubtrending · Post #14826 · Jun 12

#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data. https://github.com/FareedKhan-dev/all-rag-techniques

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The Kingfisher - Bitcoin & Crypto liquidations signals and analytics

@thekingfisher_btc · Post #4344 · 03/03/2026, 10:27 AM

#GEX🐟 From: @thekingfisher_liqmap_bot $ETH GEX+ showing positive numbers right now Increased volatility would certainly lead to more negative numbers, leading to further volatility Hawkes process when you got us… For now, tempered volaility, keep an eye on the gex+ 🔥️️️️

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