Transformers for developers: Implement LLMs, vision Transformers, and multimodal Ai models from scratch with python
What if you could build your own intelligent systems using the very same ideas that power ChatGPT, Google Bard, and modern multimodal AI?
This book is your complete, practical guide to understanding and creating cutting-edge transformer models, large language models, and multimodal AI applications. Written in clear and approachable language, it takes you from the foundations of attention mechanisms all the way to building real-world projects like vision transformers, multimodal assistants, and end-to-end text-image pipelines.
By reading this book, you will not only grasp the theory but also gain hands-on experience through authentic code examples, detailed exercises, and real-world applications. You'll walk away with the confidence to train, fine-tune, and deploy AI models that go beyond toy experiments and truly solve meaningful problems.
What sets this book apart is its unique balance of depth and practicality-it doesn't overwhelm you with abstract math or shallow tutorials. Instead, it bridges research breakthroughs and production-ready workflows, helping you become a practitioner who can innovate with today's most powerful AI techniques.
If you're serious about mastering transformers and building intelligent systems that matter, this book is your roadmap. Unlock the knowledge, tools, and confidence to shape the future of AI-one project at a time.
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