This course delves into the intricate process of ReAct prompting, a critical component in the design of AI agents. Through dedicated modules, learners will explore the nuanced approach to crafting prompts that effectively guide AI responses in a reactive manner. This technique is essential for developing AI agents that can interact dynamically with users and environments.
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Learn AI Agents
This course is part of AI Engineering Specialization
Instructor: Bob Ziroll
2,980 already enrolled
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(16 reviews)
What you'll learn
Construct ReAct prompts that enable AI agents to engage in dynamic, context-aware dialogues with users.
Implement loop mechanisms to ensure continuous processing and responsiveness of AI agents to ongoing interactions.
Develop and integrate action functions that dictate AI agent behaviors in a variety of interaction scenarios.
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There is 1 module in this course
This course offers a deep dive into the development of AI agents, with a particular focus on ReAct prompting, a technique for creating responsive, context-aware AI interactions. Participants will learn to craft dynamic prompts, manage continuous loop processes, and develop action functions that allow AI agents to behave in a sophisticated and user-responsive manner. By the end of the course, learners will be equipped with practical skills to build and implement intelligent AI agents capable of complex, real-world interactions.
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1 assignment28 plugins
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Recommended if you're interested in Software Development
DeepLearning.AI
Kennesaw State University
Coursera Project Network
Rutgers the State University of New Jersey
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