Transformers in Action (www.manning.com)

"Transformers in Action" is a comprehensive guide that explores the architecture driving today’s most advanced AI models, such as ChatGPT and Gemini. Written by Nicole Koenigstein, the book delves into the intricacies of the transformer architecture, including its various modeling families and optimization techniques. It offers practical insights and extensive code samples, enabling readers to adapt pretrained models for new tasks effectively. The significance of this work lies in its thorough exploration of both foundational theory and practical applications. It covers advanced topics like automating hyperparameter tuning with tools like Ray Tune and Optuna, as well as leveraging reinforcement learning for text generation. Additionally, it addresses the ethical considerations surrounding large language models and presents effective strategies for prompt engineering, thus equipping AI/ML practitioners with the necessary skills to fine-tune models responsibly and effectively for their projects. This resource is crucial for anyone looking to deepen their understanding of transformers and harness their potential in innovative ways.