Question

What are the challenges in training Generative AI models?

Answer 1

Training Generative AI models presents several challenges:

1. Data Quality: High-quality training data is essential. Noisy or biased data can lead to flawed outputs.
2. Computational Resources: Training large models demands substantial computational power and time.
3. Mode Collapse: GANs may suffer from mode collapse, where they generate limited varieties of outputs.
4. Ethical Considerations: AI-generated content can raise ethical issues, including misinformation and deepfakes.
5. Evaluation Metrics: Measuring the quality of generated content is subjective and requires robust evaluation metrics.