From e9a63eb3be852646c8e2a05797d6ab223ef46594 Mon Sep 17 00:00:00 2001 From: Li Bo Date: Fri, 8 Mar 2024 13:56:33 +0800 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 90062e73..2f9cbe55 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ > Accelerating the development of large-scale multi-modality models (LMMs) with `lmms-eval` -🏠 [Homepage](https://lmms-lab.github.io/) | 📚 [Documentation](docs/README.md) | 🤗 [Huggingface Datasets](https://huggingface.co/lmms-lab) +🏠 [Homepage](https://lmms-lab.github.io/) | 🎉 [Blog](https://lmms-lab.github.io/lmms-eval-blog/) | 📚 [Documentation](docs/README.md) | 🤗 [Huggingface Datasets](https://huggingface.co/lmms-lab) In an era where people pursue AGI (Artificial General Intelligence) with the zeal akin to 1960s moon landing mission. Evaluating the core of AGI, which fundamentally entails assessing large-scale language models (LLMs) and multi-modality models (LMMs) with unprecedented capabilities, has become a pivotal challenge. These foundation models are at the heart of AGI's development, representing critical milestones in our quest to achieve intelligent systems that can understand, learn, and interact across a broad range of human tasks.