finetune-design

What problem does it solve?

This Skill streamlines the complex process of preparing to fine-tune a Large Language Model (LLM) for multi-turn conversations, ensuring all necessary design artifacts are created before data generation begins.

Core Features & Use Cases

• Systematic Design: Guides users through selecting models, defining token economics, creating taxonomies, designing evaluation rubrics, and crafting prompts.
• Expert Validation: Integrates "Expert Role-Play Critique" to stress-test designs and identify blind spots.
• Use Case: Before starting a project to fine-tune a model for customer support, use this Skill to define the types of customer issues, the desired quality standards, and the user personas to simulate, ensuring a robust foundation for data generation.

Quick Start

Use the finetune-design skill to begin planning your LLM fine-tuning project by designing the necessary artifacts.