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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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@abmedia_news · Post #24595 · 05/14/2026, 07:00 AM
【🤖 AI 人工智慧｜CME 擬推「算力期貨」，打造 AI 時代的數位原油市場】 #SiliconData#CMEGroup#DRW 芝商所董事長 Terry Duffy 宣布與 Silicon Data 合作，預計今年推出算力期貨。 以 GPU 每日基準指數定價，助 AI 業者將不透明支出轉為可控金融風險。DRW 創辦人指出此舉象徵算力金融化，將成全球最大大宗商品。 📍閱讀全文： https://abmedia.io/cme-and-silicon-data-first-compute-future 📍 訂閱鏈新聞頻道：https://linktr.ee/abmedia.io
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@venturevillagewall · Post #3943 · 01/21/2025, 07:00 PM
Circle Expands USDC Ecosystem 🚀 Circle announces key developments: - Acquired RWA platform Hashnote. - Partnered with DRW to promote USDC and Ondo Dollar (USDY). - USDC and USYC launching on Canton blockchain. 💵 50M USDC minted (approx. $50.03M). Bitcoin ETFs now hold over 1.1M BTC (~5.7% supply). Details here | More on Bitcoin ETFs | Canton news #USDC#Circle#Blockchain#Crypto#Finance#USYC#Bitcoin#ETFs#Investments#Hashnote#DRW#DigitalAssets#Canton#Markets#CryptoTrends#Tokenization#WhaleAlert#Funding#Sustainability#DeFi#Innovation