finetuning

1# Prerequisites
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3Before starting this workflow, verify:
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51. A `use_case_spec.md` file exists
6   - If missing: Activate the `use-case-specification` skill first, then resume
7   - DON'T EVER offer to create a use case spec without activating the use-case-specification skill.
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92. A fine-tuning technique (SFT, DPO, RLVR, RLAIF, or CPT/RFT (for Nova)) and base model have already been selected
10   - If missing: Activate the `model-selection` and/or `finetuning-technique` skills to collect what's missing, then resume
11   - Don't make recommendations on the spot. You MUST activate the appropriate skill.
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133. A base model name available on SageMakerHub has been identified
14   - If missing: Activate the `model-selection` skill to get it
15   - **Important:** Only use the model name that `model-selection` retrieves, as it may differ from other commonly used names for the same model
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174. The SDK environment has been verified (SDK version, region, execution role)
18   - If not done: Activate the `sdk-getting-started` skill first, then resume
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205. A training dataset uploaded to a bucket in the environment's default region.
21   - If not met: Help the user upload the dataset to the correct S3
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25# Critical Rules
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27## Code Generation Rules
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29- ✅ Use EXACTLY the imports shown in each code template
30- ❌ Do NOT add additional imports even if they seem helpful
31- ❌ Do NOT create variables before they're needed in that section
32- 📋 Copy the code structure precisely - no improvisation
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