finetuning
byawslabs· 90 skills
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.
How to install finetuning?
awslabs/agent-plugins/finetuning
$npx -y skills add awslabs/agent-plugins --skill finetuningInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/awslabs/agent-plugins" --skill "awslabs/agent-plugins/finetuning"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/awslabs/agent-plugins" that are relevant to the current task. Run `npx skills add "https://github.com/awslabs/agent-plugins"` and select the relevant skills, then follow their instructions.
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