text_davinci_001 · AlpacaEval · AlpacaEval 1 · GPT-4 judged win rate · original leaderboard example ↗
Reported model / MODEL EVIDENCE
text davinci 001
1 benchmarks · 1 observations · 1 sources
Scores at a glance
1 benchmarks · large dot: text davinci 001; small dots: closest models where reported
Closest models by score
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
1 of 1 shared benchmark comparisons
1 of 1 shared benchmark comparisons
1 of 1 shared benchmark comparisons
How similarity is measured
Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.
Sources
Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.
- AlpacaEval: An Automatic Evaluator of Instruction-following Models ↗
All 8 authors
Xuechen Li, Tianyi Zhang, Yann Dubois, Rohan Taori, Ishaan Gulrajani, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
Names used in source tables
text_davinci_001