#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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🫣Windows 11 2001-yilda qanday ko'rinishga ega bo'lardi
📆 Agar Microsfot Windows 11 ni 22 yil oldin ishlab chiqqanida taxminan uning dizayni shu ko'rinishda bo'lardi.Bu siz uchun hunuk ko'rinishi mumkin ammo ushbu dizayn 2001-yil uchun supper!
👉🏼Birinchi raqamli Windows Blog | #windows11
🫣Windows 11 2001-yilda qanday ko'rinishga ega bo'lardi
📆 Agar Microsfot Windows 11 ni 22 yil oldin ishlab chiqqanida taxminan uning dizayni shu ko'rinishda bo'lardi.Bu siz uchun hunuk ko'rinishi mumkin ammo ushbu dizayn 2001-yil uchun supper!
👉🏼Birinchi raqamli Windows Blog | #windows11