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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 #64665 · 04/09/2026, 01:15 PM

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🚀 Gibbs Mura Investigates Drift Protocol Theft in Class Action Gibbs Mura, a U.S. law firm, has announced a class action investigation into the theft involving Drift Protocol, with the funds involved estimated between $280 million and $285 million. According to ChainCatcher, over $230 million in USDC was transferred to Ethereum via Circle's Cross-Chain Transfer Protocol (CCTP). Gibbs Mura argues that although Circle has the technical capability to freeze funds, it did not take such action during the attack. The firm is currently assessing whether investors can claim against Circle for 'failure to intervene timely,' 'insufficient monitoring,' and 'not fulfilling stablecoin responsibilities.' Affected users are encouraged to join the lawsuit to aid in the recovery of funds. #GibbsMura#DriftProtocol#ClassAction#TheftInvestigation#USDC#Ethereum#Circle#CrossChainTransfer#StablecoinResponsibilities#FundsRecovery

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