Introduction to Retrieval Augmented Generation (RAG)

所在平台: Coursera

课程主页: https://www.coursera.org/learn/introduction-to-retrieval-augmented-generation-rag

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课程名称:检索增强生成(RAG)导论 课程概述:本课程介绍大型语言模型(LLM)的概念和应用,探讨流行的LLM,如OpenAI的GPT和谷歌的Gemini。课程将深入理解语言嵌入和向量数据库,并学习LangChain LLM框架,以开发结合LLM与LLM框架优势的RAG应用。 LLM的强大能力不仅限于诸如ChatGPT、谷歌Gemini或Anthropic Claude等工具,而是可以充分利用自然语言处理的强大能力。

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Name:Introduction to Retrieval Augmented Generation (RAG)

Description:In this course, we start with the concepts and use of Large Language Models, exploring popular LLMs such as OpenAI GPT and Google Gemini. We will understand Language Embeddings and Vector Databases, and move on to learn LangChain LLM Framework to develop RAG applications combining the powers of LLMs and LLM Frameworks.

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In this course, we start with the concepts and use of Large Language Models, exploring popular LLMs such as OpenAI GPT and Google Gemini. We will understand Language Embeddings and Vector Databases, and move on to learn LangChain LLM Framework to develop RAG applications combining the powers of LLMs and LLM Frameworks. The capabilities of LLMs are not to be kept confined within the tools like ChaGPT or Google Gemini or Anthropic Claude. You can leverage the powerful Natural Language Capabilit

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