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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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Venture Village Wall 🦄

@venturevillagewall · Post #4076 · 02/05/2025, 07:00 PM

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Large Crypto Transactions Witnessed 🚨 Significant crypto transfers observed: 413M #DOGE (around $105M) and 144M #XRP ($346M) moved from Kraken to unknown wallets. Additionally, 147K #ETH (approx. $406M) also transferred. In regulatory updates, the FDIC plans to allow U.S. banks to engage in crypto activities without prior approval, boosting crypto interest. MicroStrategy has rebranded as Strategy, focusing on Bitcoin treasury management. For additional insights on the changing crypto landscape, visit Barron's and Leviathan News. #DOGE#ETH#XRP#Crypto#FDIC#Bitcoin#MicroStrategy#Blockchain#Regulations#Finance#CryptoNews#USA#Investments#WhaleAlert#CryptoMarket#CryptoTrading#CustodyServices#TokenizedDeposits#CryptoTrends#VC