Stanford CRFM

AI模型评测—

The Holistic Evaluation of Language Models (HELM) serves as a living benchmark for transparency in language models. Providing broad coverage and recognizing incompleteness, multi-metric measurements, and standardization. All data and analysis are freely accessible on the website for exploration and study.

CRFM Stanford 专注于大型语言模型（LLM）的性能评测和比较，提供排行榜、模型信息、使用场景以及开源资源，方便研究者和开发者了解和选择不同的AI模型。

核心功能列表（按重大程度排序）

1. 排行榜（Leaderboard）– 展示各类AI模型在标准测试中的性能分数。

2. GitHub – 提供开源资源和项目代码链接。

3. 重点模型展示 – 包含如Llama 2、GPT系列、Mistral、Cohere等主要模型的性能数据。

4. 预测（Predictions）– 展示模型在特定任务中的预测结果。

5. 场景（Scenarios）– 说明模型可应用的实际使用场景。

6. 模型（Models）– 提供详细的各类大型语言模型及其参数信息。

盾灵安全导航

The Center for Research on Foundation Models (CRFM) is an interdisciplinary initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) that makes fundamental advances in the study, development, and deployment of foundation models.

The center brings together a multidisciplinary group of faculty, students, researchers, and engineers spanning 10+ departments at Stanford.