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Summary

Speedv1 — Nutritionhardscorer: contains_all

Throughput and TTFT-focused generation tasks.

How it is scored

The model receives the prompt (and optional system message). The run uses scorer contains_all with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

User prompt
Summarize in exactly 4 short bullet points:
A platform team improved release safety by introducing ownership mapping, golden signal dashboards, and runbooks across critical services. They documented ownership, ran weekly reliability reviews, and tracked on-call load to verify impact over time.
Scorer config
{
  "expected_contains": [
    "ownership mapping",
    "golden signal dashboards",
    "runbooks",
    "on-call load"
  ]
}
Run parameters

temperature

0

max_tokens

140

timeout (s)

120

type

scored

file

speed_hard_19.json

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