Title: From Tokenization to Transformers: A Complete Guide to Large Language Models

Description:
Explore the fascinating world of Large Language Models (LLMs) with From Tokenization to Transformers: A Complete Guide to Large Language Models. This book serves as a comprehensive resource for understanding the evolution, architecture, and applications of LLMs, tailored for students, researchers, and professionals in AI and Natural Language Processing (NLP).

Starting with the basics of tokenization and numericalization, the book delves into the intricacies of transformer architectures, fine-tuning techniques, and the principles driving cutting-edge models like GPT and LLaMA. It combines theoretical explanations with practical insights, empowering readers to apply these concepts in real-world scenarios.

Key Features:

A structured progression from fundamental concepts to advanced topics.
Clear explanations of architectures like attention mechanisms and transformers.
Step-by-step guides for pretraining, fine-tuning, and evaluating LLMs.
Case studies on domain-specific applications of LLMs in healthcare, education, and more.
Ethical considerations, accessibility enhancements, and responsible AI practices.
Whether you're a beginner aiming to grasp the basics or a seasoned professional looking to deepen your understanding, this book equips you with the tools and knowledge to harness the power of LLMs effectively.