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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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@venturevillagewall · Post #3940 · 01/21/2025, 04:00 PM
Circle Acquires Hashnote for USYC Integration Circle has acquired Hashnote, the issuer of the USYC tokenized money market fund, to integrate it with Circle's USDC. This aims to facilitate conversion between on-chain cash and yield-generating collateral. Additionally, Circle is partnering with Cumberland for liquidity and settlement support. More details: CoinDesk #Circle#Hashnote#USYC#USDC#Crypto#VC
@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