Description
Transformer-based language models are powerful tools for solving a variety of language tasks and represent a phase shift in the field of natural language processing. But the transition from demos and prototypes to full-fledged applications has been slow. With this book, youll learn the tools, techniques, and playbooks for building useful products that incorporate the power of language models.
Experienced ML researcher Suhas Pai provides practical advice on dealing with commonly observed failure modes and counteracting the current limitations of state-of-the-art models. Youll take a comprehensive deep dive into the Transformer architecture and its variants. And youll get up-to-date with the taxonomy of language models, which can offer insight into which models are better at which tasks.
Youll learn:
Clever ways to deal with failure modes of current state-of-the-art language models, and methods to exploit their strengths for building useful products
How to develop an intuition about the Transformer architecture and the impact of each architectural decision
Ways to adapt pretrained language models to your own domain and use cases
How to select a language model for your domain and task from among the choices available, and how to deal with the build-versus-buy conundrum
Effective fine-tuning and parameter efficient fine-tuning, and few-shot and zero-shot learning techniques
How to interface language models with external tools and integrate them into an existing software ecosystem
Author: Suhas Pai
Binding Type: Paperback
Publisher: OReilly Media
Published: 04/15/2025
Pages: 364
Weight: 1.28lbs
Size: 9.19h x 7.00w x 0.76d
ISBN: 9781098150501
Language: English
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