Evaluating and Debugging Generative AI

Learn the tools needed to evaluate and debug large language models and other types of generative AI models.

Introduction

• Introduction to evaluating and debugging GenAI

1. Exploring Generative AI Models

• Explore generative AI models
• Analyzing the Transformer architecture

2. Evaluating Generative AI Models

• Understand evaluation metrics
• Apply model analysis techniques
• Examine metric applications
• Challenge: Evaluate image quality
• Solution: Evaluate image quality
• Challenge: Analyze text output
• Solution: Analyze text output

3. Debugging and Troubleshooting Generative AI Models

• Identify common model issues
• Implement troubleshooting techniques
• Explore troubleshooting cases
• Challenge: Remedy mode collapse
• Solution: Remedy mode collapse
• Challenge: Correct vanishing gradients
• Solution: Correct vanishing gradients

4. Discussing Ethics and Ensuring Fairness

• Discuss ethical implications
• Develop bias mitigation strategies
• Propose ethical guidelines
• Challenge: Implement bias mitigation
• Solution: Implement bias mitigation

Conclusion

• Strategize scalability and deployment
• Your evaluating and debugging GenAI journey