Tagged “flow-matching”

3 posts.

All Model Architecture19 Training & Alignment22 Inference & Serving20 Agents & Orchestration11 Reasoning & Evaluation27 Safety, Security & Governance7 Platforms & Practice21

Model Architecture 24 min

From Normalising Flows to Flow Matching: How the Change-of-Variables Idea Survived Its Own Architecture

For five years, normalising flows bent every layer around one number: the log-determinant of a Jacobian. Flow matching kept the invertible transport map, stopped computing that number during training, and ended up inside Stable D…

variational-and-flow-models flow-matching diffusion-models generative-ai ∑ ◫

Model Architecture 24 min

The Score Is All You Need: How Energy-Based Models, Langevin Dynamics and Diffusion Became One Theory

For decades the normalising constant made energy-based models nearly impossible to train at scale. Between 2019 and 2022 the field stopped computing it and learned its gradient instead, and score matching, Langevin sampling and d…

energy-based-and-score-models diffusion-models diffusion generative-ai ∑ ◫

Training & Alignment 24 min

Vision-Language-Action Models: The Action Interface Is the Hard Part

A language model eats trillions of tokens scraped for free. The largest open robot dataset is 527 skills gathered by hand across 21 institutions. That asymmetry, not model capacity, is what makes robot learning hard, and it expla…

robotics-embodied vla imitation-learning flow-matching ∑ ◫