Data Science & Analytics
Tao Run AutoML DEFT Pipeline
The skill runs NVIDIA’s three‑phase AOI training workflow, starting with an AutoML hyper‑parameter optimization baseline, then a DEFT loop that refines the model through RCA, SDG, mining, and retraining, and finishing with a second AutoML refinement on the augmented dataset. Engineers use it for end‑to‑end AOI model tuning, PCB AOI improvement, or a combined AutoML‑DEFT pipeline, with requests automatically routed unless a user specifies only the DEFT loop. The same phased approach applies to non‑AOI DEFT tasks, ensuring a warm‑started, data‑enriched refinement process.
- Publisher / source
- NVIDIA Skills (Verified)
- Upstream record
- NVIDIA/skills
- Version
- Version 5
- Published
- Publication review
- Approved for publication
- Content fingerprint
abe493b6d3e4b59680088bfe65d2d5728af216cc0163d1d5f4a0de39d92c68e7