Discuss the trade-offs between different generative models, such as GANs vs. VAEs.
GANs prioritize sample quality but may suffer from mode collapse, while VAEs focus on learning data distributions but might produce less realistic samples. The choice depends on the task's requirements and desired outcomes.
