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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 #65390 · 04/13/2026, 04:28 AM

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🚀 Iranian Lawmaker Deletes Post on U.S. Demands in Nuclear Talks Saeed Mahmoud Nabavian, an Iranian lawmaker engaged in discussions between the U.S. and Iran, recently shared and subsequently removed a social media post detailing three demands from the United States. According to NS3.AI, the deleted message outlined the U.S. requests for joint sharing of benefits from the Strait of Hormuz, the removal of all uranium enriched to 60% from Iran, and a 20-year prohibition on uranium enrichment. The post's removal has sparked speculation about the ongoing negotiations and the potential implications for regional stability. #Iran#US#NuclearTalks#StraitOfHormuz#UraniumEnrichment#MiddleEast#Diplomacy#InternationalRelations#RegionalStability

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