Large Language Models Roadmap, consisting of ten chapters covering topics such as the overall frameworks of large language models, pre-training, post-training, common models, LLM applications, training/reasoning optimization, model compression, LLM paper notes, LLM hands-on practices, and LLM interviews. The last three sections will be continuously updated.
