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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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@tonlines · Post #6720 · 04/11/2025, 02:52 PM
Fanton EN: NFT Transfer Completion and Rule Violations #NFT#ComBot The Fanton EN channel has completed a mass NFT transfer, including distributions for auctions, tier upgrades, and the ComBot event. However, some participants broke the rules, leading to disqualifications. Participants who did not receive their NFTs should contact Fanton Support. Source: link @tonlines
@botsgram_cu · Post #3438 · 01/26/2021, 03:28 PM
@BanInfoRobot Qué puede hacer este bot? Comprueba si estás prohibido en los populares servicios Anti-Spam de Telegram como SpamWatch, CAS, etc Idioma: Inglés (visto en @BotsGram_cu) #ban, #userinfo, #spamwatch, #cas, #combot, #spam, #antispam, #spamprotection, #spb, #antispaminc, #check, #api, #scam, #spammer