🧠Advanced AI Agents: Building Complex and Ethical Systems
Building advanced AI agents, emphasizing complex workflows and ethical considerations
Summary: This text provides a module for building advanced AI agents, emphasizing complex workflows and ethical considerations. The module details constructing agents with branching logic, bias auditing capabilities, and performance optimization techniques. It covers integrating real-world tools via LangChain, such as the Google Search API, to enhance agent functionality. Best practices for code structure and debugging, including a capstone project rubric, are also presented to guide learners in building robust and reliable AI systems.
The material aims to transform learners into skilled AI architects and engineers capable of creating intelligent, ethical, and scalable applications. A visual system diagram illustrates the architecture of the advanced AI agent system, highlighting the workflow and decision-making processes.
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