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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 #65434 · 04/13/2026, 07:44 AM

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🚀 Hyperbridge Takes Emergency Measures to Address DOT Token Attack Blockchain interoperability protocol Hyperbridge has announced that it is implementing emergency measures to address an attack related to DOT tokens. According to Foresight News, the team has temporarily suspended all cross-chain operations via the front end and advised partners to halt external transactions, issue warnings, and remain vigilant where necessary. Polkadot has clarified that the vulnerability only affects DOT tokens transferred cross-chain to Ethereum via Hyperbridge. The Polkadot ecosystem's DOT, its parachains, and native DOT remain secure and unaffected by this issue. #Hyperbridge#DOT#Polkadot#Blockchain#CryptoSecurity#TokenAttack#CrossChain#EmergencyMeasures#ETH

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