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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 #64538 · 04/09/2026, 06:45 AM

🚀 Satoshi Protocol Layer2 Settlement Network Launches with Upgrades The Satoshi Protocol Layer2 settlement network officially launched on April 6, introducing enhancements in on-chain data statistics and computational capabilities. According to ChainCatcher, the Layer2 network now supports deep cumulative calculations on-chain, allowing for a more accurate reflection of team sizes and business data, thereby improving processing efficiency in complex scenarios. In terms of governance, the protocol has transferred core permissions to a multi-signature contract and adopted a dual-track governance model, with developers and core community members each holding 50% of the decision-making power. The execution threshold is set at 65%, further enhancing decentralization. This upgrade marks the protocol's transition towards community autonomy, providing a reference for technology and governance in the DeFi sector. #SatoshiProtocol#Layer2#Blockchain#DeFi#Governance#Decentralization#OnChainData#NetworkLaunch#Crypto#MultiSignature#ProtocolUpgrade#CommunityAutonomy