eBook - Introduction to Large Language Models: Generative AI for Text
Available Exclusively as an eBook | Part of the AI Collection | Only for Institutional Purchase | Publication Year: 2025
Description
Introduction to Large Language Models (LLMs) is a comprehensive guide for understanding the foundations and advancements of Generative AI for Text. Designed for educators and enthusiasts, the book starts with key linguistic concepts and progresses through NLP fundamentals—from word embeddings to pretrained foundational models.
Readers will learn how LLMs process and generate language, overcome limitations, and enhance performance using techniques like prompt engineering, retrieval-augmented generation, and human alignment. The book uniquely presents cutting-edge research in a concise format, enriched with visual aids, exercises, and practical resources.
Ideal for computer science faculty, this resource offers both theoretical insights and real-world applications, showcasing how LLMs like ChatGPT are transforming technology and advancing AI innovation.
Table of Contents
- Introduction
- An Overview of Natural Language Processing and Neural Networks
- Word Embedding
- Neural Language Models
- Transformers
- Language Model Pretraining
- Fine-Tuning and Alignment of LLMs
- Prompting Strategies in LLMs
- Efficient Methods for Fine-Tuning LLMs
- Augmented Large Language Models
- Multilingual and Multimodal LLMs
- Responsible LLMs
- Advanced Topics in Large Language Models
- of Model Editing
- LLMs in Action