# finetuning

> Claude/Codex skill by [@awslabs](https://omgskills.com/library/awslabs/index.md) · 927 stars · Updated 2026-10-15

Generates code that fine-tunes a base model using SageMaker serverless training jobs. Use when the user says "start training", "fine-tune my model", "I'm ready to train", or when the plan reaches the finetuning step. Supports SFT, DPO, RLVR, and RLAIF trainers, including RLVR Lambda reward function and RLAIF custom prompt creation.

Tags: agent-plugins, agent-skills, agents, aws, coding-agent-skills, coding-agents

## Install

```sh
git clone https://github.com/awslabs/agent-plugins /tmp/agent-plugins && ln -s /tmp/agent-plugins/plugins/sagemaker-ai/skills/finetuning ~/.claude/skills/finetuning
```

## From README

Prerequisites Before starting this workflow, verify: A usecasespec.md file exists If missing: Activate the use-case-specification skill first, then resume DON'T EVER offer to create a use case spec without activating the use-case-specification skill. A fine-tuning technique (SFT, DPO, RLVR, RLAIF, or CPT/RFT (for Nova)) and base model have already been selected If missing: Activate the model-selection and/or finetuning-technique skills to collect what's missing, then resume Don't make recommendations on the spot. You MUST activate the appropriate skill.

## Links

- HTML page: https://omgskills.com/library/awslabs/agent-plugins/plugins/sagemaker-ai/skills/finetuning/
- GitHub: https://github.com/awslabs/agent-plugins
- Author: [@awslabs](https://omgskills.com/library/awslabs/index.md)

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