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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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Venture Village Wall 🦄

@venturevillagewall · Post #4221 · 02/23/2025, 04:00 AM

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Ethereum Rollback Not Feasible, Developer Warns Ethereum developer Tim Beiko cautions against rolling back the Bybit attack, citing potential widespread disruptions and significant costs exceeding $1.5 billion. This attack does not breach Ethereum protocol rules unlike the 2016 TheDAO incident. Additionally, a Bybit address transferred $48 million to Galaxy Digital and FalconX, acquiring 34,800 ETH shortly before depositing it back into Bybit. Read more: Ethereum rollback debate and Bybit address transactions #Ethereum#Bybit#Crypto#Blockchain#DeFi#News#Investment#ETH#GalaxyDigital#FalconX#TimBeiko#CZ#KanyeWest#Polychain#OTC#Transaction#Security#Protocol#Rollback#Market#Analysis

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