New course: Build agents that respond to users with not only plaintext, but custom UIs like charts, ...

TL;DR · AI 摘要
Andrew Ng宣布了一门新课程,教授如何构建能够响应用户并展示自定义UI(如图表、表单和白板)的智能代理。
核心要点
- 学习构建自定义组件如图表和表单的智能代理
- 学会协作应用中的共享数据
- 将第三方应用集成到对话中
结构提纲
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思维导图
用一张图看清主题之间的关系。
查看大纲文本(无障碍 / 无 JS 友好)
- 新课程:构建智能代理
金句 / Highlights
值得收藏与分享的关键句。
This short course is built in partnership with @CopilotKit and taught by @ataiiam, co-founder of CopilotKit.
Andrew Ng on X: "New course: Build agents that respond to users with not only plaintext, but custom UIs like charts, forms, and whiteboards, generated on demand and displayed right in the chat. This short course is built in partnership with @CopilotKit and taught by @ataiiam, co-founder of https://t.co/yUqAQ6KtLY" / X
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New course: Build agents that respond to users with not only plaintext, but custom UIs like charts, forms, and whiteboards, generated on demand and displayed right in the chat. This short course is built in partnership with
and taught by
, co-founder of CopilotKit. You'll learn three approaches: Your agent can pick from custom components you build, like charts and forms. It can compose new layouts from a set of building blocks you provide, like rows, cards, and text. Or it can incorporate existing third-party apps, like a whiteboard or a calendar, right inside the conversation. Skills you’ll gain: - Build agents that render custom components like charts and forms on demand - Build an app where the agent and user collaborate on shared data, beyond just the chat window - Place third-party apps like maps, calendars, and whiteboards right in your interface Join and build agents that give users something to see and act on! https://deeplearning.ai/short-courses/build-interactive-agents-with-generative-ui/…

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