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 comprehensive open-source data labeling platform designed to help ML teams create high-quality training datasets for a variety of AI models.

Sequence Monkey is a high-capacity large language model developed by Mobvoi, offering robust natural language processing capabilities via an open API.

MOSS is a sophisticated conversational large language model developed by a research team at Fudan University, designed for high-quality human-AI interaction.

An extensive open-source platform for discovering, sharing, and deploying pre-trained AI models developed by Alibaba DAMO Academy.

A comprehensive Python library for natural language processing, ideal for building programs to work with human language data.

Alibaba M6 is a high-performance, large-scale pre-trained model developed by DAMO Academy, optimized for complex linguistic tasks and enterprise AI integration.

Hugging Face is the definitive open-source community and infrastructure hub for sharing, discovering, and collaborating on machine learning models and datasets.