Structured LLM Learning Path, from Zero to AI Researcher, 8-Phase Curriculum (github.com)

A new structured learning path for aspiring AI researchers has been announced, designed to guide learners through mastering Large Language Models (LLMs) and LLM-based agents over an approximately five-month period. This self-paced curriculum is divided into eight phases, covering foundational topics such as Transformers, pre-training, fine-tuning, and advanced research techniques. Each phase includes detailed objectives, reading materials, and practical exercises, allowing participants to track their progress effectively and engage deeply with each concept. This initiative is significant for the AI/ML community as it democratizes access to high-quality educational resources in a rapidly evolving field. By offering an open-source format, learners can customize and share the curriculum, fostering collaboration and innovation. With prerequisites including intermediate Python programming and basic knowledge of linear algebra, calculus, and probability, this program aims to equip both newcomers and those with prior experience in deep learning with the necessary skills to contribute to cutting-edge AI research. By promoting hands-on learning and resource sharing, the curriculum is poised to enhance the pipeline of qualified AI researchers in the industry.