Reproducing GPT-2 (124M) from Scratch - Implementation and Optimization
Embark on a comprehensive 4-hour journey to reproduce GPT-2 (124M) from scratch in this in-depth video tutorial. Explore the entire process, from building the GPT-2 network to optimizing its training for maximum efficiency. Follow along as the instructor sets up the training run according to GPT-2 and GPT-3 paper specifications, initiates the process, and analyzes the results. Gain insights into model architecture, parameter loading, forward pass implementation, sampling techniques, and data handling. Dive into advanced topics such as mixed precision training, GPU optimization, gradient accumulation, and distributed data parallel processing. Learn about hyperparameter tuning, learning rate scheduling, and evaluation methods. By the end, you'll have a thorough understanding of building and training a GPT-2 model, with practical knowledge applicable to larger language models.