02 / MODELS / EVALUATION
Language model evaluation.
Asking better questions about model quality.
Overview
A single benchmark score never tells the whole story. Evaluation also means examining consistency, instruction following, and the ways models fail on ordinary tasks.
I am interested in test design, qualitative error analysis, and comparing model behavior across different languages and task types.
Topics I explore
- Instruction-following and response consistency
- Multilingual evaluation principles
- Error analysis and transparent reporting
- Reproducibility and careful interpretation
An evaluation is useful when it helps explain a failure, not just rank a score.
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