Diagnostic
Decide whether training is the right fix, and what “better” should mean.
Deliverables
- Problem framing: task, frequency, impact, current workaround
- Data readiness: volume, quality, rights, test set
- Baseline plan: model, metric, evaluation protocol
- Cost estimate: data, training, evaluation, cloud GPU
- Go/no-go: train, prompt/RAG, workflow change, or stop
Who it fits
You think you need training, but are not sure it is worth it; prompts and RAG still leave behavior unstable.
Not included
Data cleaning, full training, model deployment.