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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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Crypto M - Crypto News

@CryptoM · Post #64676 · 04/09/2026, 01:44 PM

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🚀 Etherscan Enhances Contract Page with New Features Etherscan has announced a revamp of its contract page, introducing an IDE-style code browser. According to Foresight News, the update includes features such as file tree navigation, multi-file tabs, contract outline jumping, and cross-file keyword search. The redesign also improves the interaction interface for reading and writing contract pages, aiming to enhance the user experience in reading and operating smart contracts. Users can now switch to full-screen mode and open matching contract codes directly in Blockscan and Ethereum Remix for editing. #Etherscan#SmartContracts#Blockchain#Ethereum#CodeBrowser#DeveloperTools#Crypto#IDE#BlockchainDevelopment#TechUpdate#ETH

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