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Source channel @githubtrending · Post #14993 · Jul 24

#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch

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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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