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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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Crypto M - Crypto News

@CryptoM · Post #64765 · 04/09/2026, 08:19 PM

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🚀 Bitcoin and Ethereum Futures Open Interest Surge Amid Improved Macro Sentiment Bitcoin and Ethereum perpetual futures have seen a significant increase in open interest, rising by $2.1 billion and $2.2 billion respectively over the past 24 hours. According to NS3.AI, CoinGlass data indicates that Bitcoin's open interest has reached its highest level in over two months, while Ethereum's open interest is at its peak for approximately three weeks. CryptoQuant attributes this positioning build to an improved macroeconomic sentiment following a conditional ceasefire agreement between the U.S. and Iran. #Bitcoin#Ethereum#Futures#OpenInterest#Crypto#MacroSentiment#USIran#CryptoTrading#BTC#ETH

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