HardFlow studies how generative AI can meet strict constraints
TOP PROJECT / TECH JOURNAL · MIT News
Source published: 2026-09-14 · Editorial digest
MIT presents HardFlow, a method for steering pretrained generative models towards outputs that meet strict constraints without retraining the model. The research allows more freedom during generation while controlling the final result. Potential applications include physical planning and computer vision. A research method for constraints should not be confused with a safety certification for a deployed system.
Schematic illustration by TOP PROJECT. This briefing summarises the linked publication; named organisations are not presented as TOP PROJECT clients or partners.
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