Evaluation Metrics for Generative AI
Learn how to establish and apply evaluation metrics for assessing generative AI outputs.
Learning Objectives
Develop the ability to evaluate generative AI outputs using standardized metrics.
Topics
Understanding Evaluation Metrics
Explore the basics of evaluation metrics in AI.
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Quantitative vs Qualitative Metrics
Differentiate between quantitative and qualitative evaluation metrics.
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Establishing Evaluation Criteria
Learn how to set criteria for evaluating AI outputs.
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Tools for Evaluation
Identify tools and software for evaluating AI outputs.
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Case Study: Evaluation in Practice
Analyze case studies showcasing evaluation of AI outputs.
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Continuous Improvement with Metrics
Use metrics for continuous improvement of AI models.
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Overcoming Evaluation Challenges
Discuss challenges in evaluating generative AI.
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Ethical Considerations in Evaluation
Explore ethical aspects of evaluating AI systems.
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Comparative Analysis Techniques
Learn techniques for comparative analysis of AI outputs.
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Implementing Feedback Loops
Create feedback loops for ongoing evaluation and refinement.
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Realtime audio conversation for interactive session.
Interactive realtime chat session.
Live whiteboard explanation and collaboration.
Real-time wide variety of examples.
Continuous assessment and feedback.
Progress monitoring and record progress journey.
Broadcast session with larger audience for free.
Attend audience queries and provide responses.