Are you a Ph.D. student with experience in deep learning?
Are you a Ph.D. student without experience in deep learning (e.g. math / physics)?
Are you an undergrad or Master’s student?
- Textbook: Introduction to AI Safety, Ethics, and Society
- Course notes: ESE 5460 (Fall 2023)
- Recommended introductory deep learning papers
- Introduction to large language models: Understanding the transformer architecture, pretraining, and fine-tuning methods
- Introduction to technical tools: PyTorch, Huggingface, and hands-on safety work