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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 #64885 · 04/10/2026, 06:54 AM

🚀 Tria Integrates Aptos Network for Enhanced Global Transactions Tria, a non-custodial financial operating system, has announced the integration of its global trading engine with the Aptos network. According to ChainCatcher, this integration allows over 500,000 users across more than 150 countries to directly access and trade Aptos assets. Users can now perform cross-chain exchanges and asset interactions within a single application without the need for cross-chain bridges. The collaboration aims to leverage Aptos's sub-second confirmation and parallel execution technology to provide users with a seamless transaction experience. Additionally, it seeks to further connect traditional finance, Web2, and on-chain infrastructure. #Tria#AptosNetwork#GlobalTransactions#NonCustodial#FinancialOperatingSystem#CrossChainExchanges#AssetInteractions#Blockchain#Web2#OnChainInfrastructure#Aptos#Crypto#DecentralizedFinance#Fintech#APT