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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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💥Los San Diego Padres están finalizando un acuerdo para ser vendidos al multimillonario de capital privado José Feliciano, también copropietario del Chelsea F.C., y a su esposa Kwanza Jones. (Jared Diamond, WSJ) Se espera que rompa el récord de la MLB para un equipo que se vende, con una valoración de 3,9 mil millones de dólares. #Padres 🗞 | t.me/MLB_Daily

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