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Training & evaluation
A disciplined approach to model training, evaluation, and safety validation.
Evaluation baselines
Define success metrics before tuning anything.
- • Golden set creation
- • Pass/fail thresholds
- • Regression alerts
Fine-tuning prep
Clean datasets, guard against leakage, and document decisions.
- • Dataset curation
- • Redaction pipeline
- • Versioned prompts
Safety validation
Validate against prompt injection and unsafe output risks.
- • Adversarial suites
- • Toxicity filters
- • Policy gates
Deployment readiness
Move from experiments to stable production workflows.
- • Rollback plans
- • Monitoring signals
- • Human fallback
Recommended pairings
Combine this module with the architecture and security tracks for a full production readiness plan.