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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 #65104 · 04/11/2026, 01:47 AM

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🚀 AI TRENDS | OpenAI Addresses Security Issue Involving Axios Developer Library OpenAI has identified a security issue related to the third-party developer library Axios, which is part of a broader industry event. According to Jin10, the company stated that there is no evidence of OpenAI user data being accessed, system breaches, or software tampering. As a precautionary measure, OpenAI is taking steps to secure the authentication process for its macOS application to ensure it is recognized as a legitimate OpenAI app. The company is updating its security certification, requiring all macOS users to update their OpenAI applications to the latest version. OpenAI believes this will help mitigate any risks, however small, of distributing counterfeit applications posing as OpenAI. #AI#OpenAI#SecurityIssue#Axios#DeveloperLibrary#macOS#Authentication#SecurityCertification#UserData#CounterfeitApplications

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