Nicole Koenigstein

Transformers in Action

Transformers in Action adds the revolutionary transformers architecture to your AI toolkit. You’ll dive into the essential details of the model’s architecture, with all complex concepts explained through easy-to-understand examples and clever analogies—from sock sorting to skiing! Even complex foundational concepts start with practical applications, so you never have to struggle with abstract theory. The book includes an extensive code repository that lets you instantly start playing and exploring different LLMs.

In this interesting guide, you’ll start by applying transformers to fundamental NLP tasks like text summarization and text classification. Then, you’ll push transformers farther with tasks like generating text, honing text generation with reinforcement learning, developing multimodal models, and few-shot learning. You’ll discover one-of-a-kind advice on prompt engineering, as well as proven-and-tested methods for optimizing and tuning large language models. Plus, you’ll find unique coverage of AI ethics such as mitigating bias and responsible usage.