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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 #65443 · 04/13/2026, 09:04 AM

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🚀 Investor Shifts Focus from Oil to U.S. Stock Market On April 13, Hyperinsight reported that the largest holder of short positions in crude oil on Hyperliquid, identified as address 0xa65, closed their loss-making positions last week and briefly attempted to go long in an effort to capitalize on a market bottom. According to BlockBeats On-chain Detection, the investor subsequently closed these positions and exited the oil market entirely. The investor has now shifted their focus to the U.S. stock market, specifically the storage sector. They have retained two long positions opened earlier this month in Micron Technology (MU) and SanDisk (SNDK), with a total holding size of $5.4 million. The current floating profit from these positions has reached $1.15 million. #Investor#OilMarket#USStockMarket#MicronTechnology#SanDisk#Investing#StockMarket#Finance#MarketShift#Hyperliquid#BlockBeats

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