AI benchmarking

AI benchmarking is the process of evaluating the performance of AI models on a set of standardized tasks. This allows for fair and objective comparisons between different models and helps to track progress in the field of AI.

Common benchmarks include ImageNet for image recognition, GLUE for natural language understanding, and the Turing test for conversational AI.