MMBenchは、マルチモーダルな大規模言語モデルの能力を、幅広い視覚的およびテキスト的タスクにわたって測定するために設計された包括的な評価フレームワークです。

機械学習チームが様々なAIモデル向けの高品質なトレーニングデータセットを作成できるよう支援するために設計された、包括的なオープンソースのデータラベリングプラットフォーム。

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モデル 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.