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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 #65035 · 04/10/2026, 03:05 PM

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🚀 Bittensor Experiences Significant Market Value Loss Following Covenant AI Departure Bittensor's market value dropped by nearly $900 million after Covenant AI announced its departure from the network. According to NS3.AI, CryptoSlate data revealed that TAO, Bittensor's native token, fell 27% from $338 to $285 within approximately two hours before slightly recovering to $294. CoinGlass data indicated that the event led to $11 million in long liquidations. The split has highlighted a governance dispute between Covenant AI founder Sam Dare and Bittensor co-founder Jacob Steeves. #Bittensor#MarketValueLoss#CovenantAI#TAO#Crypto#NS3AI#CryptoSlate#CoinGlass#Liquidations#GovernanceDispute#SamDare#JacobSteeves

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