Large Language Models: From Theory to Practice (2nd Edition)
Published in Electronic Industry Press, 2025
Recommended citation: Qi Zhang, Tao Gui, Rui Zheng, Xuanjing Huang: Large Language Models: From Theory to Practice (2nd Edition), Electronic Industry Press, 2025 https://intro-llm.github.io/
Large Language Models: From Theory to Practice (2nd Edition) focuses on the four stages of building large language models: pre-training, instruction fine-tuning, reward modeling, and reinforcement learning. It details the algorithms, data, challenges, and practical experiences at each stage. Furthermore, it explores practical experiences in enhancing large language model capabilities, improving efficiency, and applying large language models in real-world scenarios, covering popular directions such as multimodal learning and AI agents, comprehensively presenting the latest advancements in large language model research.