In this video, Andrej Karpathy, co-founder of OpenAI and former Tesla Director of AI teaches you how to build the GPT-2 network form scratch. It is a practical implementation and understanding of GPT-2 and GPT-3, focused on training language models. For Whom: - AI enthusiasts, students, and professionals interested in deep learning and natural language processing. - Developers looking to understand and implement GPT-2 from scratch. - Individuals seeking to optimize training processes and explore model evaluation. Highlights: - Comprehensive 4-hour video tutorial by Andrej Karpathy on building the GPT-2 network from scratch. - Step-by-step guidance on setting up training runs, optimizing for fast training, and evaluating the model. - Associated GitHub repository with the full commit history to follow code changes step-by-step. Benefits: - Deep dive into the architecture and training of GPT-2. - Learn best practices for optimizing training speed and setting hyperparameters. - Practical experience with reproducing GPT-2 (124M) model, applicable to larger models like GPT-3. - Insight into the training process and amusing model generations. Key Features: - Zero to Hero Series: Builds on knowledge from earlier videos in the series (available on Andrej Karpathy’s channel). - nanoGPT Repo: The GitHub repository for this tutorial, designed to be easy to follow through step-by-step commits. - Cloud GPU Recommendation: Suggests using Lambda for cloud GPU if local resources are insufficient.