What challenges arise in using Generative AI for unstructured data generation

Question

Can you tell me What challenges arise in using Generative AI for unstructured data generation?

Answer 1

Challenges in using Generative AI for unstructured data generation include handling high-dimensional variability and ensuring coherence across diverse data types.

Here is the code snippet you can refer to:

In the above code we are using the following key points:

• High Dimensionality: Managing complexity in images, text, and audio.
• Quality Control: Ensuring generated outputs are coherent and meaningful.
• Training Instability: GANs and VAEs often suffer from mode collapse and divergence.
• Interpretability: Understanding why certain patterns emerge in generated data.