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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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Venture Village Wall 🦄

@venturevillagewall · Post #3817 · 01/08/2025, 04:00 AM

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Roam Team Joins Coinbase, Shutting Down Roam, a blockchain search engine, will shut down its products to join Coinbase. Key executives, including CEO, CTO, and CPO, are also moving to Coinbase to boost its on-chain consumer division. Read more 📊 Notable Transactions: - 89,114,400 #XLM (valued at $38.6M) transferred between unknown wallets. Details 📈 Bithumb adds Korean Won trading pairs for DEEP token on Sui network. Details 🎮 Lotte Group gets largest grant from Arbitrum for its metaverse gaming platform Caliverse. Amount undisclosed. Read more 🌍 BIT Mining seals $14M deal with Ethiopia for a 51-MW facility and 18,000 mining machines, capitalizing on the country's low energy costs. Read more #Blockchain#Coinbase#XLM#Crypto#DEEP#Sui#Arbitrum#Lotte#Metaverse#BITMining#Ethiopia#Bitcoin#DEX#CLOB#Gaming#Hydropower#Finance#News#Update#VC

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