🗒️跟着吴恩达学AI多智能体-9/17-工具开发总结
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2024-6-5
2024-6-29
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<Multi AI Agent Systems with crewAI>是吴恩达大佬与CrewAI的创始人兼CEO合作新开的一门课程,该课程的目标是通过理论和实际案例,让学员掌握构建智能体系统的技能,最终能自主构建复杂的智能体团队。该课程是以视频教学的形式进行的,为了便于大家快速学习,我这边提供了图文形式。官方链接放在了左下角,大家点击原文链接即可查看官方视频课程。该课程共分为17节,本文是第九节,后续我会每天更新一节,大家有问题可以随时私信或者写在评论区。以下是第九节的图文内容。
 

课程内容

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好的,我们来回顾一下迄今为止学到的内容。我们讨论了工具为什么是智能体的关键部分,因为它们使你能够将智能体与外部世界连接。因此,你将构建工具并使用现有工具来调用API、与内部系统集成、进行一些计算处理。它们充当了一个翻译层,使你的智能体能够与可能已有的程序进行通信。但为了使这些工具正常工作,你需要确保它们具有多功能性,具有容错能力,并具有缓存策略。如果确保你使用的所有工具都具备这三个特性,你的系统将更加可靠。因此,在选择使用什么工具或构建自己的工具时,请特别注意这些方面。再次提醒,由于我们使用的是Query AI,你不仅可以使用Query AI本身提供的工具,还可以使用链接链(link chain)提供的所有工具。因此,你可以从一大批工具中开始选择。好的,我们将在这里结束本课程。你做得很好,继续保持。你会喜欢我们的下一课,因为我们将讨论更多有趣的内容,这将解锁更多的使用场景。期待在下一课见到你。
内容总结: 我们学习了如何通过使用工具将智能体与外界连接,这些工具包括API调用、系统集成和计算功能。要确保这些工具有效运作,它们需要具备多功能性、容错能力和缓存策略。利用Query AI和链接链提供的广泛工具,可以创建一个更加可靠和多功能的系统。我们强调了在选择和构建工具时需要关注这些关键属性,以确保系统的整体可靠性和效率。
翻译原文:
Okay, let's recap what we learned so far. We talked about how tools are such a key part of agents because they are what allow you to connect your agents to the external world. So you're going to build tools and use existing tools to call APIs, to integrate with your internal systems, to do some computational. to integrate with your internal systems, to do some computational. It's a translation layer that allows your agents to communicate with existing programs that you might have. But in order for these tools to work properly, you need to make sure they're versatile, you need to make sure they're fault tolerant, and need to make sure that they have a caching strategy. If you make sure that you're using those three qualities on all the tools that you use, you then have a system that is more reliable. So make sure to watch out for that when you're choosing what tools you're gonna use or building your own tools. Keep in mind again, that because we're using Query AI, you can not only use the tools that Query AI offers itself, but you can also use all the tools that a link chain offers. So you have a huge range of tools that you can start with. All right, we're going to wrap this lesson here. You're doing amazing. Keep at it. You're going to love our next lesson because you're going to talk about even more interesting stuff that is going to unlock more use cases. So I see you on your next lesson.
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