Generative AI engineering : build apps with transformer and diffusion-based large and foundational models

Apply creativity and engineering to create apps with transformer and diffusion based large and foundational modelsPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn with practical examples, code snippets, and use cases from a variety of generative AI applicationsConquer the core concepts and techniques of generative AI engineeringGet to grips with productionizing operational pipelines with generative AIBook DescriptionGenerative 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.What you will learnGet to grips with the fundamentals of generative AI and its applicationsFamiliarize yourself with different types of generative models and when to use themTrain and Finetune generative models using PyTorchEvaluate the performance of your models and fine-tune them for optimal resultsFind best practices for deploying and scaling generative AI models in production environmentsWho this book is forWhether you are a software engineer, data scientist, or AI enthusiast, Generative AI Engineering is an essential resource that will help you master the art of building generative AI models.

To get started, you’ll need to have basic knowledge of Python coding, including Jupyter Notebooks, setup cloud or local infrastructure using Docker containers for sample code, and deep learning and PyTorch.