LLM Evaluation Examples

This repository contains lightweight examples of evaluation artifacts used in LLM quality workflows.

It reflects interests in:

• LLM evaluation & quality analysis
• Prompt & rubric design
• Reliability, tone, and safety checks
• Data labeling & structured feedback

I work professionally in model evaluation, taxonomy, and annotation. Much of my applied work is proprietary, so this repo includes illustrative examples only.

Contents

• evaluator_guidelines.md – judging instructions example
• prompt_rubric_example.md – sample structured rubric
• test_prompts.csv – example prompt set
• simple_eval_script.py – tiny Python scoring demo (illustrative)

Focus

• Clarity
• Alignment
• Educational applications of AI
• Safety & high-quality outputs