Hands-On Generative AI with Transformers and Diffusion Models

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(as of Dec 17,2024 12:22:33 UTC – Details)

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Publisher ‏ : ‎ O’Reilly Media; 1st edition (December 31, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 416 pages
ISBN-10 ‏ : ‎ 1098149246
ISBN-13 ‏ : ‎ 978-1098149246
Item Weight ‏ : ‎ 1.46 pounds
Dimensions ‏ : ‎ 7 x 0.85 x 9.19 inches

Hands-On Generative AI with Transformers and Diffusion Models

In this post, we will explore the exciting world of generative AI using cutting-edge techniques such as transformers and diffusion models. Generative AI refers to the ability of an AI system to create new, original content, whether it be images, text, or even music.

Transformers are a type of neural network architecture that has revolutionized natural language processing tasks such as language translation and text generation. These models are able to capture long-range dependencies in data and generate coherent and contextually relevant sequences.

Diffusion models, on the other hand, are a more recent development in generative AI that focus on generating high-quality images. These models work by iteratively refining a noisy image until it closely resembles a target image, leading to stunningly realistic results.

In this hands-on tutorial, we will walk through the process of training a generative AI model using both transformers and diffusion models. We will provide code examples and step-by-step instructions to help you get started with building your own generative AI projects.

Whether you are a beginner looking to dip your toes into the world of generative AI or an experienced practitioner looking to expand your skills, this post will provide you with the knowledge and tools you need to create impressive and innovative AI-generated content. So buckle up and get ready to dive into the fascinating world of generative AI!
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