adaptation-strategies

What problem does it solve?

This Skill provides a decision framework for choosing the right adaptation strategy for AI models, addressing gaps in knowledge, behavior, capability, and cost.

Core Features & Use Cases

• Decision Framework: Offers a structured approach to select the optimal adaptation strategy (in-context learning, RAG, fine-tuning, distillation) based on the specific gap.
• Gap Analysis: Identifies the root cause of model underperformance and maps it to the appropriate adaptation method.
• Use Case: For a model struggling with understanding complex tasks, this Skill suggests using a larger model and in-context learning (ICL) to guide the model's reasoning.

Quick Start

Analyze the gap in your AI model's performance and choose the appropriate adaptation strategy from the provided framework.