# Model Training Ops

> Run model creation and training as a product: training pipeline architecture (Argo/Kubeflow, trigger taxonomy), MLflow experiment/registry standards, distributed-training topology selection (Ray/Dask/Spark), Ray on K8s operations, notebook-to-production golden path, and fine-tuning strategy (prompt vs RAG vs PEFT).

## Facts
- Page: https://tashan.sh/capability/plugin-cloud-byte-consulting-plugins-model-training-ops
- tashan id: plugin:cloud-byte-consulting/plugins/model-training-ops
- Source: https://github.com/Cloud-Byte-Consulting/plugins
- Type: plugin
- Category: ai
- tashan score: 42.0 / 100
- Adoption: 7.0
- Upkeep: 100.0
- Freshness: not measured
- Evidence coverage: 62% of the inputs this score can use
- Health: not measured
- Instruction depth: not yet graded
- License: Apache-2.0
- Official: no

## Install

```sh
/plugin marketplace add Cloud-Byte-Consulting/plugins
/plugin install model-training-ops@cloud-byte-plugins
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-09-13 by tashan (https://tashan.sh) from public evidence. Scorer s5.