From the course: Demystifying Agentic AI with ChatGPT: Elevate Your Skills and Unlock New Potential
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Flipped interaction with ChatGPT: Letting AI agents lead - ChatGPT Tutorial
From the course: Demystifying Agentic AI with ChatGPT: Elevate Your Skills and Unlock New Potential
Flipped interaction with ChatGPT: Letting AI agents lead
- Let's look at the basis of these Agentic systems, how do we kick off and get generative AI to go and work this way? And there is a prompt engineering pattern, and I've talked about it in my first class, Prompt Engineering for ChatGPT, and a paper I did, but I think of this as the basis for all this stuff, which is a flipped interaction where rather than us telling the system what to do, rather than us asking it questions, it goes and tells us what to do, it asks us questions, or really it goes and asks existing computer systems questions, it runs queries in databases to collect information it needs, or it goes and tells those systems to run actions that it needs run in order to accomplish some goal that we give it. So I want to take a quick look at the flipped interaction pattern and talk about how this works. So the basic structure of this pattern is we go and tell it that you're going to ask me questions one at a time in order to get enough information to suggest a restaurant for…
Contents
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Introduction to ChatGPT and agentic AI10m 15s
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Flipped interaction with ChatGPT: Letting AI agents lead7m 10s
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Multimodal ChatGPT: How AI agents drive conversations with text7m 4s
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Proactive AI agents: Planning tasks with ChatGPT7m 34s
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Empowering AI agents in ChatGPT: Better context and decisions5m 35s
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Outfitting AI agents: Tools for effective performance7m 30s
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Teaching ChatGPT agents: Tools, actions, and descriptions9m 28s
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ChatGPT AI agent feedback: Guiding decisions for optimal outcomes10m 7s
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In-context learning for ChatGPT: Enhancing autonomous AI11m 45s
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OpenAI GPTs: Empowering automation with Agentic AI2m 1s
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