CodeFuse is an enterprise-grade AI programming assistant developed by Ant Group to streamline the software development lifecycle through intelligent automation.

An advanced evaluation system by H2O.ai that utilizes Elo rating methodologies to benchmark and rank Large Language Models (LLMs).

A professional evaluation benchmark from Fudan University’s NLP Lab designed to measure the performance and reliability of large language models.

MMBench is a comprehensive evaluation framework designed to measure the capabilities of multimodal large language models across a wide array of visual and textual tasks.

A standardized, holistic evaluation framework from Stanford University designed to measure the performance and safety of large language models.

OpenCompass is an open-source evaluation framework developed by the Shanghai AI Lab to provide standardized, comprehensive benchmarking for large language models.

An open-source evaluation framework developed by the Beijing Academy of Artificial Intelligence (BAAI) to standardize and scale LLM benchmarking.

A crowdsourced benchmarking platform where users battle-test Large Language Models through blind side-by-side comparisons.

MMLU is a comprehensive benchmark designed to evaluate the general knowledge and problem-solving capabilities of large language models across a vast array of disciplines.

A comprehensive evaluation suite designed to assess the knowledge and capabilities of large language models (LLMs) specifically in the Chinese language.

A professional evaluation framework providing standardized benchmarks to measure the intelligence and utility of Chinese-language AI models.

A comprehensive, community-driven benchmark platform by Hugging Face to track and compare the performance of open-source large language models.