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Source channel @githubtrending · Post #14993 · Jul 24

#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch

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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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