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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 #65260 · 04/12/2026, 11:44 AM

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🚀 Bitcoin's Current Market Correction Appears Milder Than Previous Cycles On April 12, crypto analyst Axel Adler Jr commented on the current Bitcoin market correction. According to BlockBeats, Adler noted that this correction seems significantly milder compared to the bear markets of the 2017-18 and 2021-22 cycles. However, he cautioned that the current level of correction is insufficient to confirm a market bottom. In previous cycles, the maximum drawdowns were -54% for 2021-22, -64% for 2017-18, and -43% for 2013-15. The current market dynamics suggest a mild bear market, not yet reaching a deep capitulation phase, making it premature to confirm a bottom or a true market recovery. The analyst emphasized that the current situation is more of a pause in the bear market rather than a reversal of trends. #Bitcoin#CryptoMarket#MarketCorrection#BearMarket#BitcoinAnalysis#CryptoTrends#AxelAdlerJr#BitcoinBearCycles#CryptoRecovery#BTC

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