The generative AI tech stack encompasses the tools and frameworks necessary for developing generative models, such as GANs and variational autoencoders. Key components include programming languages like Python, machine learning libraries (e.g., TensorFlow, PyTorch), and specialized frameworks designed for generative tasks. Additionally, cloud platforms facilitate scalability and access to computational resources. By leveraging this tech stack, developers can create innovative applications in areas like art generation, text synthesis, and data augmentation, pushing the boundaries of creativity and automation.
Jack Farris
37 Blog posts
