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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 #65202 · 04/12/2026, 12:24 AM

🚀 EU Proposes Regulatory Shift for Cross-Border Institutions The European Union is considering a significant change in its regulatory framework for cross-border institutions. According to ChainCatcher, the proposal suggests transferring regulatory authority from national supervisory bodies to the European Securities and Markets Authority (ESMA). This shift would affect large Crypto Asset Service Providers (CASPs), trading venues, central counterparties, and central securities depositories. This proposal marks the most substantial structural adjustment in the EU's crypto regulatory framework since the Markets in Crypto-Assets Regulation (MiCA) was fully implemented for CASPs at the end of 2024. Under the current MiCA framework, national authorities serve as the primary regulators, while ESMA plays a coordinating role. #EU#regulatoryshift#crossborderinstitutions#ESMA#CryptoAssetServiceProviders#CASPs#MiCA#cryptoregulation#EUcrypto