tao-run-automl-deft-pipeline
tao-run-automl-deft-pipeline is an agent skill published by nvidia, listed under training models. It lives in the NVIDIA/skills repository, which has 3,735 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-25.
Runs the NVIDIA AOI three-phase training pipeline, including AutoML baseline, DEFT loop, and AutoML refinement. Triggers based on requests to run the AOI workflow, fine-tune the model end-to-end, or improve the AOI ChangeNet model.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads NVIDIA/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add NVIDIA/skills
What it connects to
Unverified means a mention in the skill’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.
Maintenance
Run the canonical NVIDIA AOI three-phase training pipeline — Phase 1 AutoML baseline (HPO), Phase 2 DEFT loop (RCA → SDG → mining → plain-train retrain), Phase 3 AutoML refinement on the DEFT-augmented dataset. Use when the user asks to "run the AOI workflow", "fine-tune my PCB AOI model end-to-end", "improve my AOI ChangeNet model", or "AOI workflow with AutoML" request — route here instead of tao-run-deft-aoi directly unless the user explicitly asks for the DEFT loop ONLY (e.g. "run JUST the DEFT loop", "skip AutoML, only DEFT"). Also handles the same three-phase pattern for non-AOI DEFT applications — AutoML baseline then DEFT loop warm-started from AutoML's winning HPs then post-DEFT AutoML refinement on the iteration-augmented dataset. Trigger phrases include "run the AOI workflow", "AOI end-to-end", "AutoML + DEFT", "AutoML then DEFT", "tune hyperparameters then DEFT", "DEFT with AutoML at both ends", "warm-start DEFT", "improve my AOI model".
tao-run-automl-deft-pipeline compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| tao-run-automl-deft-pipeline (this page) | nvidia | Run the canonical NVIDIA AOI three-phase training pipeline — Phase 1 AutoML baseline (HPO), Phase 2 DEFT loop… | 3,735 | 2026-10-26 |
| nemo-mbridge-mlm-bridge-training(same repository) | nvidia | Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, availa… | 3,735 | 2026-10-26 |
| nemotron-asr-finetune(same repository) | nvidia | Orchestration skill for NVIDIA Nemotron Speech (Riva) / NeMo ASR domain and language adaptation. Given a goal… | 3,735 | 2026-10-26 |
| nemotron-customize(same repository) | nvidia | Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines:… | 3,735 | 2026-10-26 |
| nvflare-convert-huggingface(same repository) | nvidia | Convert existing Hugging Face Transformers Trainer or TRL SFTTrainer training code into an NVFLARE federated… | 3,735 | 2026-10-26 |
| paidf-anomalygen(same repository) | nvidia | Full PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG),… | 3,735 | 2026-10-26 |
| tao-finetune-cosmos-embed(same repository) | nvidia | Cosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication… | 3,735 | 2026-10-26 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about tao-run-automl-deft-pipeline
- What does tao-run-automl-deft-pipeline do?
- Runs the NVIDIA AOI three-phase training pipeline, including AutoML baseline, DEFT loop, and AutoML refinement. Triggers based on requests to run the AOI workflow, fine-tune the model end-to-end, or improve the AOI ChangeNet model.
- How do I install tao-run-automl-deft-pipeline?
- Run npx skills add NVIDIA/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes tao-run-automl-deft-pipeline?
- nvidia.
- Is tao-run-automl-deft-pipeline maintained, and what licence does it use?
- Its repository has 3,735 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-26. The repository declares the Apache-2.0 licence.
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