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Generative AI Engineering, 1E. Build apps with transformer and diffusion-based large and foundational models

(ebook) (audiobook) (audiobook) Książka w języku 1
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Generative AI Engineering, 1E. Build apps with transformer and diffusion-based large and foundational models Konrad Banachewicz - okladka książki

Generative AI Engineering, 1E. Build apps with transformer and diffusion-based large and foundational models Konrad Banachewicz - okladka książki

Generative AI Engineering, 1E. Build apps with transformer and diffusion-based large and foundational models Konrad Banachewicz - audiobook MP3

Generative AI Engineering, 1E. Build apps with transformer and diffusion-based large and foundational models Konrad Banachewicz - audiobook CD

Serie wydawnicze:
Learning
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
142
Generative AI Engineering is a hands-on guide to utilizing generative AI for creating advanced AI based applications. It’s designed for both beginners and experienced practitioners who want to learn how to develop generative AI models-based applications and use them to solve real-world problems.

As you progress through the chapters, you’ll cover all the core concepts and techniques of generative AI engineering, including transformer and diffusion-based models. You'll also learn from practical examples and carefully chosen code snippets that will help you understand how to apply these concepts to real-world problems. You will learn the generative AI services and platforms offered by major cloud providers, GCP, AWS, and Microsoft Azure.

With its comprehensive coverage and practical examples, this book will provide you with the skills and knowledge you need to build cutting-edge AI applications that can create new content, generate realistic images and videos, and solve complex problems in a wide range of industries.

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O autorze książki

Konrad Banachewicz is the author of the bestselling, The Kaggle Book and The Kaggle Workbook. He is a data science manager with experience stretching longer than he likes to ponder on. He holds a PhD in statistics from Vrije Universiteit Amsterdam, where he focused on problems of extreme dependency modeling in credit risk. He slowly moved from classic statistics towards machine learning and into the business applications world.

Packt Publishing - inne książki

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