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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 #65374 · 04/13/2026, 03:00 AM

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🚀 Hyperithm's Oil Short Positions Experience Rapid Losses Analyst @ai_9684xtpa posted on X that Hyperithm's oil short positions have seen significant changes in just one day. Initially, these positions had a floating profit of $5.886 million, but they have now turned into a floating loss of $2.1 million. The CL short position, valued at $37.88 million, was opened at a price of $95.211 and currently has a floating loss of $1.402 million. Meanwhile, the BRENTOIL short position, valued at $35.17 million, was opened at a price of $95.986 and is experiencing a floating loss of $620 thousand. Currently, the address holds the largest leveraged position in Hyperliquid BRENTOIL and the third-largest leveraged position in CL. #Hyperithm#oil#shortpositions#floatingloss#CL#BRENTOIL#leveragedposition#Hyperliquid#analyst

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