April 2026
Intermediate
395 pages
13h 22m
English
Overview
Unlock the world of generative AI with Python. Explore the intricacies of deep learning, large language models, and applications in business and consumer tech.
Key Features
- In-depth coverage of Python's role in generative AI
- Hands-on coding exercises using state-of-the-art tools like Hugging Face
- Comprehensive understanding of model training, fine-tuning, and deployment
Book Description
Generative AI with Python introduces readers to the fascinating world of AI model development. It begins with essential concepts in AI and deep learning, building a solid foundation for working with generative models. You will explore how to create models that generate text, images, and more, with clear, practical examples. The book provides an in-depth look at large language models and pretrained tools like Hugging Face, demonstrating how they can be leveraged in real-world applications. Each chapter blends theoretical concepts with hands-on coding exercises to ensure you understand both the principles and practical implementation of generative AI. Starting with the basics of natural language processing and deep learning, the book guides you to more advanced applications such as text summarization, image generation, and model fine-tuning. You'll also learn about optimizing AI models and deploying them in various environments. By the end of the book, you’ll be able to confidently build AI-driven applications with Python, capable of transforming business processes and enhancing consumer products.
What you will learn
- Understand the basics of generative AI and deep learning
- Learn how to build generative AI models using Python
- Work with large language models and pretrained tools like Hugging Face
- Implement real-world applications such as text summarization and image generation
- Explore model fine-tuning, optimization, and deployment for various uses
- Gain hands-on experience with coding exercises and AI projects
Who this book is for
This book is ideal for Python developers, data scientists, and AI enthusiasts looking to explore generative AI. A basic understanding of Python programming and machine learning concepts is recommended. Prior experience with libraries such as TensorFlow or PyTorch will be helpful but not essential. The book is suitable for those interested in applying generative AI in business, technology, or creative industries.
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