Prompt optimization per model substantially alters LLM rankings on both public and internal benchmarks compared to using fixed unoptimized prompts.
To find the number of trees that die, we calculate 30% of 130, which is 0.3 * 130 = 39 trees
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Optimization before Evaluation: Evaluation with Unoptimised Prompts Can be Misleading
Prompt optimization per model substantially alters LLM rankings on both public and internal benchmarks compared to using fixed unoptimized prompts.