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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 News & Web3 Events | TON Ecosystem

@tonevents_en · Post #1589 · 06/11/2025, 06:47 AM

🅱️Bidask Protocol has appeared on the DYOR.io analytics platform in the "Trading Platforms" section. Over time, we will see more metrics and analytics on the project. 😎 Trending Apps, one of the main Telegram channels with a selection of TMA, also added Bidask to its collection. In both #DYOR and #TrendingApps you can vote for Bidask and raise it a little higher in the ranking. 👉Use this link to vote, the top 10 and top 50 voters will receive SBT and gifts respectively. 📘 In addition, the guys from #Bidask published mini-guides for beginners on their channel: ➡️How to exchange coins. ➡️How to add liquidity to a pool. ➡️What is TVL and what is it for? Bidask DEX | Channel