The generative AI tech stack encompasses the tools, frameworks, and methodologies used to develop applications that produce new content, such as images, text, or music. Key components include deep learning frameworks like TensorFlow and PyTorch, along with models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). A robust tech stack also incorporates data management solutions, cloud infrastructure for scalability, and APIs for integration. Understanding this stack is vital for developers aiming to create innovative generative AI applications that push creative boundaries.