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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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@arch_shovel · Post #341 · 06/06/2022, 06:48 PM
Parametric Architecture. Works by Mariana Cabugueira ( a Senior Architectural Designer at Zaha Hadid Architects): 1 – the Concert Hall. 2 - Tower C - the Zaha Hadid tower. 3-6 – A Mega Luxury Hotel and Office Hybrid Tower. 7-8 – The Floating Park Island. 9-10 – the Mykonos Villa. #arch_shovel#architecture#parametric#maya#zahahadid
@CryptoM · Post #65177 · 04/11/2026, 04:40 PM
🚀 Morgan Stanley Explores Tokenized Money-Market Fund After Bitcoin ETF Launch Morgan Stanley, managing $9.3 trillion in client assets, is considering launching a tokenized money-market fund following its recent introduction of a spot Bitcoin ETF. According to NS3.AI, Amy Oldenburg from Morgan Stanley highlighted the bank's interest in tax-loss harvesting for digital assets through its subsidiary, Parametric. Data from Farside Investors indicates that the new Bitcoin ETF has attracted approximately $46 million in net inflows since its launch on Wednesday. Additionally, Morgan Stanley submitted applications in January for ETFs linked to Ethereum and Solana. #MorganStanley#TokenizedMoneyMarketFund#BitcoinETF#DigitalAssets#TaxLossHarvesting#EthereumETF#SolanaETF#Parametric#NS3AI#FarsideInvestors#CryptoInvesting#BTC#ETH#SOL