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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-agents-building-teams-of-llm-agents-that-work-for-you/
课程评论：没有评论
课程名称：AI Agents: 构建为您工作的 LLM 代理团队 课程概述： 在本课程中，您将学习如何利用多个人工智能代理团队协同工作以完成复杂任务。这种新方式将帮助您最大化利用 LLM 代理的潜力。课程内容采用逐步讲解的方式，实践性强，包含多个示例以及一个完整的基于 AI 代理的应用程序，我们将共同构建。 课程中使用 ChatGPT 的 API，您可以通过 Python 调用 ChatGPT。同时，我们也利用 AutoGen 技术，使代理们能够相互协作、沟通，以无须人工干预完成任务。 此外，本课程还提供几个可选模块。其中一个模块教您如何使用 Streamlit 构建前端界面，以更便捷地与您的 AI 代理互动。另一个模块则适合希望大规模运行 AI 代理的用户，在此我们将演示如何在 Google Cloud 上部署您的 LLM 代理，使任何人都能使用您的产品。最后，还提供了一个有关如何使用 Stripe 设置支付系统/订阅模型的可选模块，适合那些希望通过 AI 代理应用获利的学员。 课程内容简单易懂，采取逐步教学的方法，所有代码均已提供。值得注意的是，OpenAI API 并非免费的，您需要为 OpenAI 开发者账户充值约 5-10 美元，以便跟随课程并构建自己的应用。我们会详细说明并讲解如何在课程中减少 OpenAI 的费用。 总之，本课程将为您提供必要的技能与工具，帮助您构建并管理自己的 AI 代理团队。
In this course you'll learn about this new way of using LLM Agents: deploying multiple agents to work together as teams to accomplish more complex tasks for you!Everything is taught step by step and the course is fully practical with multiple examples and one complete AI Agents-based App that we build together.One of the things we use to accomplish this is ChatGPT's API so we can use ChatGPT through Python.We also use AutoGen to enable our Agents to work together and communicate with one another (to accomplish tasks with no human intervention).We also provide a few optional sections. One of these sections teaches to have a front-end, using Streamlit, to more easily interact with your AI Agents.Another optional section is for those who want to run AI Agents at scale! Here we show you how to deploy your LLM Agents on Google Cloud, so anyone can use your product.Lastly, one more optional section is available showing how to set up a payment system/subscription model using Stripe for those who want to monetize their AI Agents-based App!Everything is explained simply and in a step-by-step approach. All code shown in the course is also provided.Please not that the OpenAI API is not free, you will need to fund your OpenAI developer account with about $5-10 to follow through with the class and build your own app. We clearly show and explain how to do this and minimize your OpenAI costs during this class.
