justinzm/RAG_course
此存储库展示了用于检索增强生成（RAG）系统的各种先进技术。RAG 系统将信息检索与生成模型相结合，以提供准确且上下文丰富的响应。
This course helps AI practitioners and researchers enhance their Retrieval Augmented Generation (RAG) systems. It provides techniques to take various input data, like documents or CSVs, and improve the accuracy, efficiency, and contextual richness of the generated responses. The primary users are those building or refining AI chatbots and question-answering systems.
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Use this if you are a developer or researcher looking to build more accurate, relevant, and robust AI question-answering or generative systems that draw from specific knowledge bases.
Not ideal if you are a business user simply looking to use an off-the-shelf chatbot without understanding or modifying its underlying technical architecture.
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Jupyter Notebook
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Apache-2.0
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Last pushed
Sep 24, 2024
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