Ilya Sutskever's 30 Papers vs Lefts

Explore the deep learning reading list Ilya Sutskever gave John Carmack, with free audio explainers for AlexNet, ResNet, Transformers, scaling laws, and more.

Lefts is a very simple domain specific language for building complex machine learning workflows from simple ones.

About Ilya Sutskever's 30 Papers

Explore the deep learning reading list Ilya Sutskever gave John Carmack, with free audio explainers for AlexNet, ResNet, Transformers, scaling laws, and more. These courses, books, and code-heavy pieces do not currently have a ListenDock audio episode. When legendary game programmer John Carmack decided to move into AI, he asked OpenAI co-founder Ilya Sutskever what he should read. Ilya handed him a list of around thirty works and said that learning them would cover 90% of what matters in modern deep learning.

About Lefts

Lefts is a very simple domain specific language for building complex machine learning workflows from simple ones. Starting with your favourite machine learning models, you can use Lefts operations to:. Without making subsequent model fitting, evaluation or experimentation any more complex than it was with the original model. This implementation is built on top of the excellent Polars DataFrame library. E nsemble: Takes a set of models and makes them evaluate as one. F eed: Allows the output of one model to be used as a feature or target by another.