#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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🍁 Exciting News Alert! 🍁
🎓 Join us for a special guest lecture on pursuing undergraduate studies in Canada! 🇨🇦
Discover top universities like
-Toronto Metropolitan University
-Simon Fraser University
-University of Manitoba
-University of Lethbridge
-Wilfrid Laurier University in stunning locations across the country.
🌟 Learn about the world-class education system, vibrant multicultural environment, and endless opportunities that Canada has to offer. 🌎
🎤 Don't miss out on insights from our guest speaker, Ani Vardazarian - Senior Student Recruitment Manager🎓 Save the date for this transformative educational adventure in the Great White North! ❄️
Date: 01.03 (Friday)
Time: 17:00
📌 link to register: https://docs.google.com/forms/d/e/1FAIpQLSf-0kLzFGogSeb4RhqEueBjK7M-we1VmFfub55yGwgUXxUFEA/viewform?usp=sf_link
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