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Eval And Ops.prompt

GPTClaudeDeepSeek··1,050 copies·updated 2026-07-14
eval-and-ops-prompt.prompt
# Fine-Tuning Evaluation and Operations - Agentic Skill Prompt

Use this prompt to harden fine-tuning workflows with robust evaluation, checkpointing, distributed training controls, and release criteria.

## 1. Mission

Ensure training outputs are reproducible, measurable, and production-safe before release.

## 2. Evaluation Layers

1. In-training metrics: loss, token accuracy, gradient norms.
2. Task metrics: benchmark suites and domain-specific test sets.
3. Safety metrics: harmful content tendencies, refusal balance, policy compliance.

## 3. Benchmark Execution Baseline

when to use it

Community prompt sourced from the open-source GitHub repo Shuvam-Banerji-Seal/LLM-Whisperer (MIT). A "Eval And Ops.prompt" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

productivitycommunitydeveloper

source

Shuvam-Banerji-Seal/LLM-Whisperer · MIT