Retrieval Augmented Generation (RAG) Explained | LLM | Gen AI

Hi! I will be conducting one-on-one discussion with all channel members. Checkout the perks and Join membership if interested: / @siddhardhan Dive into the fascinating world of Retrieval Augmented Generation (RAG) in this comprehensive guide! Learn how RAG combines the power of language models with external knowledge bases to enhance AI's understanding and response capabilities.
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[@faisalIqbal_AI]

Thanks♥♥♥

[@priya-qp9cy]

Can you please tell any job vacancy available for data science and ML engineer fresher ...
And also i consistently follow your projects and lectures that is helpful for enter into these career

[@soeyuyjj2533]

Hi sir, it is possible to calculate the probability percentage of having disease (eg. 90 probability of having heart disease etc). I have been following your progress and it is a great support for my project.I want my project to add more features like if the user have heart disease with probability percentage of over 70, i will recommend her to go to the hospital. If the user has probability of under 50% ,I also want to recommend what things to avoid and what things should do to reduce the disease risk. I also joined your telegram channel. Since i am new to ML fields, i don't know how to calculate . If there is a way , please guide me sir. Thank you so much for your contents.

[@sanadasaradha8638]

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