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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 #4242 · 02/25/2025, 04:00 PM

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OKX Settles Dispute with US DOJ 🕊OKX settles dispute with the US Department of Justice, admitting fault for operating without a license. The exchange will pay $84 million in fines and forfeit $421 million in commissions from US clients. This settlement marks a pivotal point for OKX, allowing continued collaboration with regulators to enhance solutions for clients and the crypto market. Details:OKX Announcement 🟠 In related news, $635 million in leveraged Bitcoin positions were liquidated within 24 hours. #Crypto#Bitcoin#OKX#Regulations#Compliance #OKX#Crypto#Bitcoin#Finance#Regulations#Compliance#Investment#Blockchain#US#Litigation#Trading#Market#Fines#Exchanges#Leveraged#Settlement#Lawsuits#Justice#USDOJ#CryptoMarket

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