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Source channel @githubtrending · Post #14826 · Jun 12

#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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@PensivePost · Post #5502 · 11/14/2021, 06:26 PM

You don't need to put "PIN DROP SILENCE" board outside or inside the lecture room, your voice and words should have that much power that people keep "PIN DROP SILENCE". #Akash#quote#review

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@PensivePost · Post #5032 · 03/28/2021, 03:03 AM

I used to silence for communication Where words had no any place: I was trying a lot to came close to her But, She was making some space, I asked :- Why ? She replied :- Getting someone is not really love Because,"Full stop is the end of sentence". #Akash#talks#review