AI Grimoire
07 — siblings
metrics/
data/

Evaluation / metrics

Metrics

Evaluation is where the field is least rigorous and most confident. These entries cover the intrinsic measures, the pairwise-comparison models borrowed from chess, and the practice of asking a language model to grade — along with the biases each of them carries in.

3 entries.

Entries

07.01.1
Elo / Bradley-Terry Scoringcommon
Latent-strength model fitted to pairwise preference outcomes.
O(P)
07.01.2
LLM-as-Judgecommon
Using a model to score model outputs, and the biases that come with it.
O(P)
07.01.3
Perplexitycommon
Exponentiated mean negative log-likelihood over a held-out corpus.
O(n)