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.