Hands-On Large Language Models

This book offers a practical guide to large language models (LLMs), focusing on building, fine-tuning, and deploying these advanced AI systems. It covers foundational natural language processing (NLP) concepts and explores transformer-based architectures like GPT, BERT, and T5. Through hands-on examples, readers will learn to train, optimize, and integrate LLMs into real-world applications, emphasizing efficiency, scalability, and responsible AI practices.
Why You Should Read?
Master the fundamentals of LLMs, including transformers and attention mechanisms.
Gain practical experience with cutting-edge models like GPT, BERT, and T5.
Learn fine-tuning, inference optimization, and deployment strategies for LLMs.
Understand ethical considerations and best practices for responsible AI development.