Nolla Health Post-Trains Nemotron 3.5 VL: Visual Diagnosis Jumps from 35% to 66.8%
LoganGrasby · x · 2026-10-16
Healthcare startup Nolla Health post-trained NVIDIA's Nemotron 3.5 Super VL with TrainLoop to interpret clinical images and conduct patient consultations.
- Visual diagnosis accuracy improved from 35.0% to 66.8%, beating tested frontier models on its internal evaluation
- The company is an NVIDIA launch partner
- The post argues that hard-to-evaluate fields like healthcare offer huge opportunities for domain-specific post-training
Related event: Nolla Health Post-Trains Nemotron 3.5 VL for Clinical Diagnosis(3 posts)→
More from Models
- GLM 5.5 rumored to drop soon, coding ability expected to match frontier models — bindureddy · 2026-10-16
- Five rounds of adversarial prompting make Opus 5.5 and Argon converge on identical output — LanceCharger · 2026-10-16
- DIY benchmark ranks 18 models on subjective judgments, GLM-5.3 tops consensus match — arkuto · 2026-10-16
- Bindu Reddy: Google's Argon excels at complex doc writing at half the cost of Opus — bindureddy · 2026-10-16
- MAI-2 is 2x bigger than V4-Pro while V4.1F is 3x smaller: Microsoft's scaling ladder questioned — teortaxesTex · 2026-10-16
- Step 5 Preview hits DeepInfra day-zero: 600B MoE, 1M context, $1/M input tokens — StepFun_ai · 2026-10-16