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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 #64697 · 04/09/2026, 02:44 PM

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🚀 Telegram's TON Blockchain Achieves Significant Speed Upgrade Telegram founder Pavel Durov announced a major upgrade to the TON blockchain, significantly enhancing its processing speed. According to Foresight News, the upgrade has increased block generation rates by six times and achieved sub-second transaction confirmations. Durov stated that this is the first of seven steps in his 'Make TON Great Again' (MTONGA) plan. The next step aims to reduce the already relatively low transaction fees by approximately six times to further improve network performance and cost competitiveness. #Telegram#TONBlockchain#PavelDurov#SpeedUpgrade#Blockchain#TransactionSpeed#MTONGA#ForesightNews#SubSecondConfirmations#TransactionFees#NetworkPerformance

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