AGIEval is a human-centric benchmark that evaluates the general abilities of foundation models in tasks pertinent to human cognition and problem-solving.
Consider an AI research lab that is developing a new language model. They want to understand how their model performs in comparison to established models like GPT-4. They can use AGIEval to benchmark their model against tasks derived from 20 official and public high-standard admission and qualification exams. This will provide them with a clear understanding of their model’s strengths and weaknesses, and guide them in improving their model. The lab can also use the data, code, and model outputs provided by AGIEval to replicate and evaluate the baseline systems, further aiding their research.