Challenges in implementing generative AI

Implementing generative AI, while highly promising, comes with its set of challenges and considerations. In the following subsections, we delve into some of the primary challenges associated with generative AI.

Training stability issues

One of the significant challenges encountered in generative AI is training stability issues. These issues can manifest as convergence problems, slow training, or even divergence, making it difficult to obtain high-quality generative models.

One prevalent application of generative AI involves using a GAN to create high-definition images. Training stability issues may arise during the training of a GAN for image generation. For instance, the generator may produce nonsensical or highly distorted images. These issues can hinder the GAN from converging to a satisfactory solution, leading to poor image generation quality.

Addressing and preventing training stability issues in generative AI involves...