Generative Artificial Intelligence and large language models

Generative AI and Large Language Models is designed to provide a comprehensive and accessible introduction to this transformative field. The book explores the theoretical foundations of generative modeling, including probability distributions, neural networks, deep learning architectures, and attention mechanisms. It further examines the development of transformer models, pre-training strategies, fine-tuning techniques, and reinforcement learning approaches that power modern LLMs.