Type this exactly: cat /opt/ai-lab/evals/golden-set.json
cat /opt/ai-lab/evals/golden-set.json
Inspect a data slice through a bounded evidence-first AI operations workflow in the training lab.
Evaluations and datasetscat /opt/ai-lab/evals/golden-set.jsonaiops evals results inspect-a-data-slicejq . /opt/ai-lab/evals/golden-set.json
Click any instruction for the command details, the why, and the common mistake to avoid.
Type this exactly: cat /opt/ai-lab/evals/golden-set.json
cat /opt/ai-lab/evals/golden-set.json
Type this exactly: aiops evals results inspect-a-data-slice
aiops evals results inspect-a-data-slice
Type this exactly: jq . /opt/ai-lab/evals/golden-set.json
jq . /opt/ai-lab/evals/golden-set.json
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Use commands and observable output to explain inspect a data slice without changing a real model or service.
Start with cat /opt/ai-lab/evals/golden-set.json. Then run aiops evals results inspect-a-data-slice before collecting the final evidence.
Inspect a data slice is an operator skill because AI behavior must be connected to versioned configuration, runtime state, and inspectable evidence.
aiops models
Inspect the simulated model catalog, manifests, and version comparisons.
aiops prompts
Review versioned prompt metadata and deterministic prompt diffs.
aiops evals
Run and inspect bounded evaluation fixtures without model execution.
aiops rag
Inspect retrieval documents, chunks, index status, and reviewed results.
aiops traces
Read deterministic request traces, summaries, and latency evidence.
aiops guardrails
Review simulated guardrail policies, checks, and audit summaries.
aiops cost
Estimate cost and capacity from fixed training metrics.
aiops incidents
Review incident timelines, evidence bundles, and operator notes.
jq
Query JSON fixtures with a small declarative path subset; no expression execution occurs.