BIG-bench

BIG-bench is a collaborative benchmark designed to evaluate and extend the abilities of language models beyond traditional benchmarks like the Turing Test. It aims to measure the performance of language models across a wide range of tasks, including language understanding, generation, and reasoning. By providing a diverse set of challenging tasks, BIG-bench offers a comprehensive evaluation of the capabilities of language models and helps drive advancements in natural language processing research. Researchers and developers can use BIG-bench to assess the strengths and weaknesses of different language models and to guide the development of more capable AI systems.