Lectures related to Scaling Language Models

Computational Physics: Understanding and Optimization

Explores the optimization of computational physics calculations and the relationship between physicists and computers.

Covers the implementation of a processor with transistors and focuses on improving performance through various technologies and circuit designs.

Language Models: From Theory to Computation

Explores the mathematics of language models, covering architecture design, pre-training, and fine-tuning, emphasizing the importance of pre-training and fine-tuning for various tasks.

Scientific Computing Essentials

Covers algorithmic thinking, Python programming, numerical methods, and essential computing concepts for scientific computing.

Scaling Language Models: Efficiency and Deployment

Covers the scaling of language models, focusing on training efficiency and deployment considerations.

Babyfoot: Strategy and Development

Explores the development of advanced strategies and tools for improving babyfoot performance.