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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 #24028 · 04/21/2026, 06:32 AM
【🚀 交易市場｜日本啟動 Canton 網路驗證專案、測試國債作為數位抵押品 】 #Japan#Canton#JPX 📍 請見報導： https://abmedia.io/japan-launch-trial-for-digital-collateral-management-using-japanese-government-bonds 📍 訂閱鏈新聞頻道：https://linktr.ee/abmedia.io
@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