#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
💡 今日金句
当你停止创造,你的才能就不再重要,你所拥有的只剩下你的品味。
而品味会裹挟你,让你排斥他人、变得狭隘。
所以,创造。
When you don’t create things, you become defined by your tastes rather than
ability. your tastes only narrow & exclude people. so create.― Why The Lucky
Stiff
via 今日金句
标签: #create#your#tastes
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