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所在平台: Udemy |
课程主页: https://www.udemy.com/course/build-powerful-ai-agents-using-smolagents-from-hugging-face/
课程评论：没有评论
课程名称：使用Hugging Face的Smolagents构建强大的AI代理 课程概述：AI代理正在改变我们的工作方式。Sam Altman预测到2025年，AI同事将进入工作场所，而OpenAI、xAI和DeepMind等公司已经开始推出尖端的AI代理如Operator和DeepSearch。那么，如何构建自己的AI代理呢？应该使用哪个框架？如果您喜欢基于图的控制，LangGraph是一个不错的选择。如果您倾向于基于角色的AI团队，CrewAI效果很好。如果您对提示优化感兴趣，DSPy可以进行调整。不过，如果您希望以一种轻便、灵活和简单的方式构建AI代理，Hugging Face的Smolagents将是最佳选择。 选择Smolagents的原因：无不必要的抽象——简单而强大。可以访问世界上所有LLM——OpenAI、Together AI、OpenRouter、Mistral，甚至是您自己的模型。创建能够与真实世界数据、API等互动的自定义工具调用代理。 在本课程中您将学习到：AI代理的基础知识——它们是如何工作的以及为何重要；构建工具调用代理——将您的代理连接到外部工具和API；整合像GPT-4、Gemini和Claude等AI模型——利用多种AI大脑；创建自定义AI工具——获取金融数据、分析文档或进行网络搜索；多代理系统——设计可以协作的AI代理；构建文本到SQL的代理，以查询数据库；创建金融分析AI，自动化投资研究。 无论您是开发者、研究员还是AI爱好者，本课程都将为您提供构建、部署和规模化用于现实世界应用的AI代理所需的技能。立即开始学习吧！
AI agents are transforming the way we work. Sam Altman predicts that AI coworkers will enter the workforce in 2025, and companies like OpenAI, xAI, and DeepMind are already launching cutting-edge AI agents like Operator and DeepSearch.But how do you build your own AI agent? Which framework should you use?If you like graph-based control, LangGraph is an option.If you prefer role-based AI teams, CrewAI works well.If you're into prompt optimization, DSPy can be adapted.However, if you want a lightweight, flexible, and straightforward way to build AI agents, Smolagents from Hugging Face is the answer.Why Choose Smolagents?No unnecessary abstractions-simple yet powerful.Access any LLM in the world-OpenAI, Together AI, OpenRouter, Mistral, or even your own models.Create custom tool-calling agents that can interact with real-world data, APIs, and more.What You'll Learn in This Course:The fundamentals of AI agents-how they work and why they matter.Building a tool-calling agent-connecting your agent to external tools and APIs.Integrating AI models like GPT-4, Gemini, and Claude-leveraging multiple AI brains.Creating custom AI tools-fetch financial data, analyze documents, or search the web.Multi-agent systems-designing AI agents that collaborate.Building a text-to-SQL agent for querying databases.Creating a financial analyst AI to automate investment research.Whether you're a developer, researcher, or AI enthusiast, this course will equip you with the skills to build, deploy, and scale AI agents for real-world use cases. Start learning today.
