tao-run-automl-deft-pipeline

AutoML + DEFT Pipeline A workflow-bridge skill that runs three phases in sequence by delegating to two existing skills — tao-run-automl for HPO and a DEFT application skill (default tao-run-deft-aoi for AOI; other skills/applications/deft-* skills for non-AOI cases) for the iterative data-improvement loop. This skill does not re-implement AutoML or DEFT. It owns only the connective tissue: HPO spec inputs, the spec-handoff between AutoML and DEFT, and the post-DEFT AutoML re-run on the augmented dataset. Routing policy User asks to "run the AOI workflow" or "improve my AOI ChangeNet model" — default to this skill , not tao-run-deft-aoi directly. The bare DEFT loop is the inner stage of this pipeline. User wants AutoML and DEFT chained on the same model/dataset User says "AutoML at both ends", "tune HPs then DEFT", "warm-start DEFT", "AutoML before and after DEFT" User has an AutoML-tuned spec and asks how to feed it into DEFT When this skill does NOT apply User explicitly asks for the DEFT loop only ("run JUST the DEFT loop", "skip AutoML") → use tao-run-deft-aoi directly User wants only AutoML with no follow-on DEFT → use tao-run-automl directly User is doing zero-shot eval, RAG, or non-training workflows Show more Installs 582 Repository nvidia/skills GitHub Stars 1.9K First Seen Jun 8, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Warn