#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
#TIL – MILLAT KO‘RKI
21-oktyabr – o‘zbek tili bayrami kuni barchamizga muborak bo‘lsin!
O‘zlikni anglash, milliy ong va tafakkurning ifodasi, avlodlar o‘rtasidagi ruhiy-ma’naviy bog‘liqlik til orqali namoyon bo‘ladi. Jamiki ezgu fazilatlar inson qalbiga, avvalo, ona allasi, ona tilining betakror jozibasi bilan singadi.
Ona tili – bu millatning ruhidir.
Sizlarni yurtimiz tarixidagi muhim sanalardan biri – O‘zbek tili bayrami kuni bilan chin qalbdan muborakbod etamiz!
Ushbu ulug‘ bayram barchamizga quvonch, faxr va g‘urur ulashsin! Ona tilimiz abadiy yashasin, doimo barhayot bo‘lsin!
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#TIL there are laws mandate the use of a specific font.
[... A]ny text that is displayed on a primary package or secondary package, or on any overwrap covering the package, must [...] be printed in a regular weight and width Lucida Sans Serif font style, without italics, and in gray.
https://gazette.gc.ca/rp-pr/p2/2019/2019-05-01/html/sor-dors107-eng.html🐟