Why 'we trained our own model' often means tuning someone else's open-weight LLM, not building one from scratch.

Thoughts on the evolving landscape of machine learning engineering.

Using Active Learning and Bayesian deep learning to reduce data labeling costs.

Research on parallel deep neural network computation on supercomputers.