How to build your first offline eval

In this detailed guide, the author shares a systematic approach to developing an evaluation (eval) process for improving AI systems, specifically focusing on generating quality Mermaid diagrams. The guide outlines a ten-step method to transform an initial "vibe" or feeling about system performance into a measurable and improvable evaluation framework. Key steps include defining the system and the initial feeling, forming clear questions, building a small dataset, defining and implementing scorers, iterating on prompts, and using AI tools to speed up the iteration process. The author emphasizes the importance of understanding system constraints, balancing multiple evaluation dimensions to avoid overfitting, and managing variance and nondeterminism in outputs. By following this process, the author was able to enhance the quality of Mermaid diagrams generated by their AI model, establishing a reliable system for continuous improvement and evaluation.

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