Building an AI App: Marking Student Math Questions - Part 34

Übersicht

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Dive into Part 34 of our AI app development series where we delve into the specifics of agent traces in iteration 9. This session is essential for those interested in learning how to verify the correct formatting of system messages in applications designed to grade student math questions.

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Lehrplan

• Introduction
Overview of Course Objectives
Brief Recap of Previous Parts
• Review of AI App Framework
Understanding the App Structure
Key Components of the Math Marking Agent
• Iteration 9: Deep Dive
Goals and Enhancements
Significant Changes from Previous Iteration
• Agent Traces
Defining Agent Traces
Analyzing Agent Trace Logs
Identifying and Resolving Issues in Agent Behavior
• System Message Formatting
Importance of Correct Message Formatting
Common Format Mistakes
Tools and Techniques for Verifying Message Formats
• Practical Session
Hands-on Exercise: Tracing Agent Behavior
Practice in Correcting Formatting Errors
• Reviewing Improvements
Comparing Agent Performance: Iteration 8 vs. Iteration 9
Metrics for Success
• Troubleshooting and Debugging
Common Issues in Traces and Formatting
Strategies for Effective Debugging
• Wrap-up
Summarizing Key Learnings
Preparing for the Next Iteration
• Q&A and Feedback Session
Addressing Participant Questions
Collecting Feedback for Future Parts
• Additional Resources
Recommended Reading and Tools
Access to Supplemental Material for Further Exploration

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Fachgebiete

Computer Science