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Source channel @githubtrending · Post #14826 · Jun 12

#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data. https://github.com/FareedKhan-dev/all-rag-techniques

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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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