Generative AI with Python and PyTorch: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications

A comprehensive guide to understanding and implementing generative artificial intelligence (AI). It explores key concepts and practical applications of large language models (LLMs), Stable Diffusion, and other next-generation AI technologies using Python and the PyTorch library. The text covers foundational topics such as neural networks, transformers, prompt engineering, and model optimization techniques, alongside detailed explanations of Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs) for image and text generation. It also examines emerging applications like deepfakes and AI art, offering hands-on examples and discussions on the challenges and future directions of generative AI.

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