Tinker API Training Skill

Expert guidance for using the Tinker API - a training platform for fine-tuning large language models with supervised learning, reinforcement learning, and preference optimization.

How It Works

1. Detect Tinker API usage - When user mentions Tinker training, RL environments, sampling, or references Tinker API operations
2. Identify the workflow - Determine if it's supervised learning, RL training, sampling, rendering, or infrastructure setup
3. Provide comprehensive guidance - Use scripts and examples to implement complete training recipes
4. Emphasize best practices - Async patterns, overlapping requests, proper data preparation, checkpoint management

Quick Reference: Common Workflows