Designing Large Language Model Applications

eBook Details:

• Paperback: 354 pages
• Publisher: WOW! eBook (April 22, 2025)
• Language: English
• ISBN-10: 1098150503
• ISBN-13: 978-1098150501

eBook Description:

Designing Large Language Model Applications: A Holistic Approach to LLMs

Large language models (LLMs) have proven themselves to be powerful tools for solving a wide range of tasks, and enterprises have taken note. But transitioning from demos and prototypes to full-fledged applications can be difficult. This Designing Large Language Model Applications book helps close that gap, providing the tools, techniques, and playbooks that practitioners need to build useful products that incorporate the power of language models.

With this Designing Large Language Model Applications: A Holistic Approach to LLMs book you’ll learn:

• Understand how to prepare datasets for training and fine-tuning
• Develop an intuition about the Transformer architecture and its variants
• Adapt pretrained language models to your own domain and use cases
• Learn effective techniques for fine-tuning, domain adaptation, and inference optimization
• Interface language models with external tools and data and integrate them into an existing software ecosystem

Experienced ML researcher Suhas Pai offers practical advice on harnessing LLMs for your use cases and dealing with commonly observed failure modes. You’ll take a comprehensive deep dive into the ingredients that make up a language model, explore various techniques for customizing them such as fine-tuning, learn about application paradigms like RAG (retrieval-augmented generation) and agents, and more.