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所在平台: Udemy |
课程主页: https://www.udemy.com/course/artificial-intelligence-certificated/
课程评论：没有评论
课程名称：构建大型语言模型驱动的应用程序 - 创建智能应用 课程概述：你准备好踏入人工智能开发的未来吗？本课程全面教授如何构建由大型语言模型（如OpenAI的GPT、Anthropic的Claude、Meta的LLaMA和Mistral）驱动的实际应用。无论你是开发者、工程师、学生还是科技爱好者，本课程将从基础理论到高级实现，使用现代工具（如LangChain、LlamaIndex和向量数据库）逐步指导你。在这个动手实践和项目为基础的课程中，你将： - 理解大型语言模型的工作原理及其与传统模型的区别 - 学习提示工程的基本知识，以有效引导模型行为 - 探索嵌入技术以及如何为可扩展应用索引知识 - 构建自己的智能代理、聊天机器人和助手 - 使用语义搜索、余弦相似度和向量存储进行实时知识检索 - 使用Python、LangChain、OpenAI API、Hugging Face等工具 - 从零开始创建一个大型语言模型驱动的旅行助手 我们还提供Python速成课程，确保每位学习者都有足够的编程基础。本课程结束时，你不仅能理解如何将大型语言模型集成到应用中，还会拥有构建自己的智能工具并将其部署到现实世界的实践技能。无需任何人工智能经验。让我们一起构建未来！
Are you ready to step into the future of AI development? This comprehensive course will teach you how to build real-world applications powered by Large Language Models (LLMs) like OpenAI's GPT, Anthropic's Claude, Meta's LLaMA, and Mistral. Whether you're a developer, engineer, student, or tech enthusiast, this course will guide you through everything from foundational theory to advanced implementation using modern tools like LangChain, LlamaIndex, and vector databases.In this hands-on, project-based course, you'll:Understand how LLMs work and how they differ from traditional modelsLearn the fundamentals of prompt engineering to guide model behavior effectivelyExplore embedding techniques and how to index knowledge for scalable applicationsBuild your own intelligent agents, chatbots, and assistantsUse semantic search, cosine similarity, and vector stores for real-time knowledge retrievalWork with tools like Python, LangChain, OpenAI API, Hugging Face, and moreCreate an LLM-powered conversational travel assistant from scratchWe also include a Python crash course to ensure every learner has the coding foundation to follow along.By the end of this course, you'll not only understand how to integrate LLMs into your applications-you'll have the practical skills to build your own intelligent tools and deploy them into the real world.No prior AI experience is required. Let's build the future-together.
