Together AI Fine-Tuning Workflow

Overview

This skill governs the expensive path from dataset qualification through an asynchronous fine-tune job and a separately approved serving handoff.

Prerequisites

• A supported base model and tuning method confirmed in current Together documentation
• Sanitized, licensed training and optional validation JSONL
• Dataset-quality and holdout criteria
• A cost ceiling, job owner, cancellation rule, and deployment decision owner

Tool Discipline

Use Read, Glob, and Grep to inspect data schemas, training configuration, and existing evaluations. Use WebFetch for current supported models and job parameters. Use Write or Edit only for approved data-validation, job-manifest, or evaluation files; never copy raw sensitive data into the skill output.

Current Contract