Generative AI with Python and PyTorch: Hands-on projects and cutting-edge techniques using generative adversarial networks and LLMs

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ASIN ‏ : ‎ B0D9M8N5R3
Publisher ‏ : ‎ Packt Publishing; 2nd edition (February 11, 2025)
Publication date ‏ : ‎ February 11, 2025
Language ‏ : ‎ English
Text-to-Speech ‏ : ‎ Enabled

Generative AI with Python and PyTorch: Hands-on projects and cutting-edge techniques using generative adversarial networks and LLMs

Are you interested in exploring the exciting world of Generative AI using Python and PyTorch? Look no further! In this post, we will delve into the fascinating realm of generative adversarial networks (GANs) and language models (LLMs) to create innovative and artistic AI projects.

Generative AI is a rapidly evolving field that focuses on creating AI systems capable of generating new, original content. GANs, a type of generative AI model, have gained popularity for their ability to generate realistic images, music, and even text. On the other hand, LLMs, such as OpenAI’s GPT-3, have revolutionized natural language processing by generating human-like text.

In this post, we will walk you through hands-on projects that demonstrate the power of GANs and LLMs. You will learn how to train GANs to generate realistic images, create music using AI, and even generate text using LLMs. Additionally, we will explore cutting-edge techniques, such as StyleGAN and BigGAN, to push the boundaries of generative AI.

By the end of this post, you will have a solid understanding of how to implement generative AI projects using Python and PyTorch. Whether you are a beginner or an experienced AI practitioner, this post will provide you with the knowledge and skills to create your own innovative and creative AI projects.

So, are you ready to dive into the world of Generative AI with Python and PyTorch? Let’s get started!
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