#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
Taehyung from his trainer’s Instagram!
👤V~!
Please don’t be so good at even exercising ㅜㅜㅎㅎ
you’re too cool, bro!
https://www.instagram.com/p/DMu7RRMyOBC/?igsh=cGh4Z2FxN3RseWE2
#INSTAGRAM
•@OUR_7_PRINCES•
Taehyung went to Japan on 29th June for work, that's why the photos of Taehyung going to Japan were not leaked, but yesterday the photos of Taehyung returning from Japan on 1st July were leaked and today the photos of Taehyung going to Japan were given by reporters...
#instagram
@OUR_7_PRINCES