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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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@CryptoM · Post #65213 · 04/12/2026, 02:59 AM
🚀 Bitcoin Long Position Closure Results in $192,000 Loss for Machi Big Brother Machi Big Brother recently closed a Bitcoin long position, incurring a loss of $192,000 following a market downturn. According to NS3.AI, this closure marked the end of a 13-win streak for the investor. #Bitcoin#LongPosition#Loss#MachiBigBrother#MarketDownturn#NS3AI#Investment#BTC
@CryptoM · Post #64987 · 04/10/2026, 12:57 PM
🚀 Major BTC Long Position Liquidated on Hyperliquid Platform In the last 10 minutes, a significant BTC long position was liquidated on Hyperliquid, according to ChainCatcher. The position, held by the entity identified as 0x1e9, was closed at a price of $71,463, resulting in a substantial sell order. The position was initially opened today at 6 a.m. UTC+8, when BTC was trading above $72,000. It involved 247 BTC, equivalent to approximately $17.65 million. As the price declined, the holder opted for a rapid stop-loss exit, incurring a loss of about $180,000. #BTC#longposition#liquidation#Hyperliquid#ChainCatcher#cryptocurrency#BTCprice#stoploss#cryptotrading#loss