#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag
Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data.
https://github.com/FareedKhan-dev/all-rag-techniques
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This PowerShell script removes all AI features from Windows 11 (like Copilot, Recall, AI in Paint/Notepad/Edge), disables registry keys, deletes packages/files, prevents reinstalls, and offers classic app replacements with backup/revert options. Run it as admin via UI or commands for a cleaner system. You gain better privacy, security, faster performance, and no unwanted bloat—full control over your PC.
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