跳到内容

夜深了,注意休息,愿你今夜好梦。

AI 资源分类

大模型

共 67 条资源

当前分类链接

Ai-Ceping

Ai-Ceping is a big language model assessment platform initiated by Professor Wang Haofen of Tongji University, guided by professors from several universities, and dedicated to providing authoritative, fair and transparent assessment data collection and analysis services.

2026年4月15日 394 0 浏览 394,收藏 0

AGI-Eval Review Community

AGI-Eval is a big model evaluation community jointly launched by Shanghai Jiaotong University, Tongji University, East China Normal University and DataWhale. The platform provides authoritative model capability lists, rich evaluation datasets, human-computer collaborative competitions and Data Studio, aiming to measure the comprehensive performance of AI models in the dimensions of comprehension, reasoning, knowledge, etc. through a scientific and transparent evaluation system, and provide evaluation support for researchers and developers.

2026年4月15日 446 0 浏览 446,收藏 0

MiroMind

MiroMind is an AI Lab product co-founded by Chen Tianqiao and Prof. Dai Jifeng of Tsinghua University, focusing on building predictive big models. Its core MiroThinker big model and MiroMind OS reasoning operating system provide verifiable and accurate decision support in finance, law, scientific research, and other high-determinism requirement fields through long-chain logic reasoning, multi-step verification and dynamic prediction. The core components of the platform are open-sourced to provide developers with a customized inference framework.

2026年4月15日 322 0 浏览 322,收藏 0

C-Eval ranking

It is mainly used to show the comprehensive ability ranking of different Large Language Models (LLMs) in multi-level and multi-disciplinary Chinese language tasks.

2026年4月15日 446 0 浏览 446,收藏 0

GPT-OSS

GPT-OSS AI platform is based on OpenAI open source models and provides two model options, GPT-OSS 120B and 20B, focusing on fast response and deep inference respectively. The platform features enterprise-grade security standards, fast global access, and instant use without waiting, making it suitable for a variety of professional scenarios such as content creation, programming, and data analysis.

2026年4月15日 437 0 浏览 437,收藏 0
正文
强调色