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所在平台: Udemy |
课程主页: https://www.udemy.com/course/query-your-custom-documents-using-llamaindex/
课程评论：没有评论
课程名称：初学者的 LlamaIndex 生成性人工智能入门 课程概述： 欢迎参加本课程，您将了解 LlamaIndex 这一强大的工具，它可以利用大型语言模型（如 OpenAI 的 API）进行数据索引和查询。在本课程中，您将学习 LlamaIndex 的基础知识以及如何使用它将数据索引以便进行各种自然语言处理任务，例如摘要生成和问答。您还将学习如何对索引数据进行查询，以及如何将 LlamaIndex 与不同的 LLM 模型集成。 本课程面向初学者，要求具备一定的 Python 编程基础。您应能舒适地编写和理解基本的 Python 代码，并对 pip 等包安装工具以及 Visual Studio Code 等开发环境有所了解。无论您是否具有 LlamaIndex 或自然语言处理的先前知识，都可以参加。 通过一系列动手练习和实际示例，您将深入理解 LlamaIndex 及其能力。课程结束时，您将能够： - 理解 LlamaIndex 的基础知识及其架构 - 为各种自然语言处理任务建立数据索引 - 对索引数据执行查询 - 了解索引存储 - 学习如何传递自定义 LLM 模型 - 学习如何与矢量数据库集成 - 学习如何与 UI 平台（如 Streamlit、Chainlit 等）集成 立即注册，开始您的 LlamaIndex 之旅！大型语言模型的领域不断发展，其基础框架也在不断更新，因此请保持关注，迎接新功能的到来！
Welcome to this introductory course on LlamaIndex, a powerful tool for indexing and querying data using large language models such as OpenAI's API.In this course, you will learn the basics of LlamaIndex and how to use it to index your data for various natural language processing tasks such as summarization, and question answering. You will also learn how to perform queries on your indexed data and how to integrate LlamaIndex with different LLM models.The course is designed for beginners with some prior knowledge of Python programming. You should be comfortable writing and understanding basic Python code and be familiar with package installers such as pip and development environments such as Visual Studio Code.The course is designed for beginners and no prior knowledge of LlamaIndex or natural language processing is required. Through a series of hands-on exercises and practical examples, you will gain a solid understanding of LlamaIndex and its capabilities.By the end of this course, you will be able to:Understand the basics of LlamaIndex and its architectureIndex your data for various natural language processing tasksPerform queries on your indexed dataLearn about the Indexing storageLearn to pass custom LLM modelLearn to integrate with Vector DatabaseLearn to integrate with UI platforms (Streamlit, Chainlit etc..)Enroll now and start your journey with LlamaIndex!The LLM space is continuously evolving and so does the underlying frameworks, so don't be surprised with new additions! Just stay tuned!
