Many GenAI models are based on Markov processes. By parameterizing them w/"generators," they can:
1. Unify & universally characterize Markov models
2. Train them at scale
3. Combine them to build multimodal models or superpositions
4. Train new models, e.g. jump models

→ View original post on X — @mit_csail,