How is Synthetic Data Generated?

Welcome to episode 148 of the ‘Eye on AI’ podcast. In this episode, host Craig Smith sits down with Ahmed Imtiaz, a PhD student from Rice University working on deep learning theory and generative modeling. Ahmed is currently spearheading his research at Google, exploring the dynamics of text-to-image generative models. In this video, Ahmed sheds light on the concept of synthetic data, emphasizing the delicate equilibrium between real and algorithmically generated data. We navigate the complexities of model autophagy disorder (MAD) in generative AI, highlighting the potential pitfalls that models can fall into when overly reliant on their own generated data.