Name a tool commonly used for developing generative AI applications.

TensorFlow is a widely used open-source framework that is particularly well-suited for developing generative AI applications. It provides robust tools for building machine learning models, including deep learning, which is essential for tasks such as generating text, images, music, and more. With its powerful capabilities for handling neural networks, TensorFlow allows developers to train and deploy complex models necessary for generative tasks.

Additionally, TensorFlow has a vibrant ecosystem and a large community, which contribute to a wealth of resources, libraries, and pre-trained models that can accelerate the development process. This makes it an attractive choice for both beginners looking to experiment with generative AI concepts and seasoned professionals seeking to implement advanced solutions.

Other options like Microsoft Word or Excel are primarily designed for document editing and data organization, respectively, and do not possess the specialized functions and tools required for generative AI development. Photoshop, while powerful for graphic creation, does not focus on the specific needs for building generative models in the same way TensorFlow does. Thus, TensorFlow stands out as the most appropriate tool for creating generative AI applications.