Developer benchmarks LLMs on GPT-2 prompt engineering capabilities

The benchmark evaluates model intelligence by testing their ability to write prompt templates for GPT-2 across 395 farm-action classification tasks. The project uses a minimal test framework to score model performance on this specific proxy task.