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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 #65278 · 04/12/2026, 01:44 PM

🚀 Ceasefire Prospects Viewed Skeptically by BTC OG Insider Garrett Jin, an agent for the 'BTC OG Insider Whale,' expressed skepticism about the prospects of a ceasefire, describing it as a 'sugar-coated poison.' According to BlockBeats, Jin argued that the market is operating under the assumption that a brief ceasefire could lead to lasting peace. However, he believes the likelihood of this outcome is less than 10%. Jin's reasoning is based on the incompatibility between the conditions proposed by Iran and the demands of the United States. He noted that no ceasefire terms have been executed within 24 hours, and historically, conflicts of this magnitude have never been resolved through a two-week pause. Jin suggests that the actual probability of a successful ceasefire is even lower than 10%. #Ceasefire#BTC#OGInsider#MarketSkepticism#GarrettJin#BlockBeats#IranUSConflict#PeaceProspects#WarPause#CeasefireSkepticism