OpenAI Cofounder Teaches You How To Build GPT2/GPT3 From Scratch

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.