Individual skill
finetuning-technique
Selects a fine-tuning technique (SFT, DPO, RLVR, or RLAIF) for the user's use case and validates it against the selected model's available recipes. Use when the user has decided to finetune and needs to choose a technique, or when the technique needs to be validated against a model. Requires a base model to already be selected (via model-selection skill).
plugins/sagemaker-ai/skills/finetuning-technique/SKILL.md
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
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- Repository stars (not skill ratings)
- 937
- Repository last updated
- Nov 5, 2026
- License
- Apache-2.0
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SKILL.mdcore · 2,419 bytesSKILL.mdcore · 2,419 bytesreferences/finetune_technique_selection_guide.mddoc · 2,393 bytesscripts/get_recipes.pyruns · 748 bytes
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# Finetuning Technique
Guides the user through selecting a fine-tuning technique based on their use case and validates compatibility with the selected model.
## When to Use
- User has decided to finetune and needs to choose a technique
- User wants to change their finetuning technique
- Technique needs to be validated against a selected model
## Prerequisites
- A base model has been selected (via model-selection skill). The model name and hub must be known.
- A `use_case_spec.md` file exists. If not, activate the use-case-specification skill to generate it first.