This live stream demonstrated how agent-driven modeling enables rapid iteration from academic prototypes to more realistic systems without sacrificing clarity or correctness.
This blog post details how some of the ML-oriented features from the Dyad AI team are designed to give automated but robust experimentation of training within CI/CD pipelines.
