Evaluation & Validation Techniques
Part 6
1.Specialized Evaluation Metrics
Understand evaluation metrics specific to Generative AI tasks, such as Inception Score for image generation.
Understand evaluation metrics specific to Generative AI tasks, such as Inception Score for image generation.
2.Objective Evaluation Challenges
Recognize the difficulties in objectively evaluating the quality of generated content.
Recognize the difficulties in objectively evaluating the quality of generated content.
3.Human Evaluation Methods
Experiment with human evaluation methods to assess the quality of generated content.
Experiment with human evaluation methods to assess the quality of generated content.
4.Robustness Validation
Implement techniques to ensure model robustness and generalization.
Implement techniques to ensure model robustness and generalization.
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5.Diversity & Novelty Consideration
Appreciate the importance of diversity and novelty in generated content.
Appreciate the importance of diversity and novelty in generated content.
6. Output Control Techniques
Explore methods for controlling and manipulating generated outputs.
Explore methods for controlling and manipulating generated outputs.
7.Latent Representation Understanding
Experiment with techniques to understand latent representations.
Experiment with techniques to understand latent representations.
8.Cross-Validation Methods
Implement cross-validation techniques for robust model validation.
Implement cross-validation techniques for robust model validation.
9. Adversarial Attacks & Defenses
Learn about adversarial attacks and defenses in Generative AI.
Learn about adversarial attacks and defenses in Generative AI.
10.Collaborate for Validation
Collaborate with domain experts for validation and improvement.
Collaborate with domain experts for validation and improvement.
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