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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 #64584 · 04/09/2026, 09:15 AM

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🚀 Dubai's VARA Issues Guidance on Virtual Asset Issuance Dubai's Virtual Assets Regulatory Authority (VARA) has released guidance detailing the structuring, disclosure, and distribution of virtual assets, including stablecoins and real-world asset tokens. According to NS3.AI, the document outlines three issuance pathways, specifying that Category 2 issuances must be distributed through intermediaries licensed by VARA. This guidance serves to interpret VARA's existing issuance rulebook rather than establish new laws. Ruben Bombardi, general counsel at VARA, stated that the framework aims to provide issuers with enhanced regulatory clarity and assist users in making more informed decisions. #Dubai#VARA#VirtualAssets#Stablecoins#RealWorldAssetTokens#RegulatoryGuidance#IssuancePathways#CryptoRegulation#Blockchain#DigitalAssets

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