History of Machine Learning

​A history of Machine Learning from Recurrent Neural Networks to today. Covers pre-transformer architectures, transformers, multimodal models, hardware optimization, post-training, embeddings, tree search solvers, test-time compute scaling, agent harnesses, and model distillation. Short version.

By Brian Chau