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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 #3817 · 01/08/2025, 04:00 AM

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Roam Team Joins Coinbase, Shutting Down Roam, a blockchain search engine, will shut down its products to join Coinbase. Key executives, including CEO, CTO, and CPO, are also moving to Coinbase to boost its on-chain consumer division. Read more 📊 Notable Transactions: - 89,114,400 #XLM (valued at $38.6M) transferred between unknown wallets. Details 📈 Bithumb adds Korean Won trading pairs for DEEP token on Sui network. Details 🎮 Lotte Group gets largest grant from Arbitrum for its metaverse gaming platform Caliverse. Amount undisclosed. Read more 🌍 BIT Mining seals $14M deal with Ethiopia for a 51-MW facility and 18,000 mining machines, capitalizing on the country's low energy costs. Read more #Blockchain#Coinbase#XLM#Crypto#DEEP#Sui#Arbitrum#Lotte#Metaverse#BITMining#Ethiopia#Bitcoin#DEX#CLOB#Gaming#Hydropower#Finance#News#Update#VC

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