Generative AI has become a powerful tool for creating new and innovative content, from captivating poems to photorealistic images. But where do you begin when you start learning in this exciting area? Python, with its robust libraries and active community, stands as a perfect starting point. This article delves into some of the most popular Python tools for generative AI, equipping you with the knowledge and code examples to kickstart your creative journey.
1. Text Generation With Transformers
The Transformers library, built on top of PyTorch, offers a convenient way to interact with pre-trained language models like GPT-2. These models, trained on massive datasets of text and code, can generate realistic and coherent text continuations. Here's an example of using the transformers library to generate creative text: