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README.md

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-Magma is a multimodal agentic AI model that can generate text based on the input text and image. The model is designed for research purposes and aimed at knowledge-sharing and accelerating research in multimodal AI, in particular the multimodal agentic AI. The main innovation of this model lies on the introduction of two technical innovations: Set-of-Mark and Trace-of-Mark, and the leverage of a large-amount of unlabeled video data to learn the spatial-temporal grounding and planning. Please refer to our paper for more technical details. 
+Magma is a multimodal agentic AI model that can generate text based on the input text and image. The model is designed for research purposes and aimed at knowledge-sharing and accelerating research in multimodal AI, in particular the multimodal agentic AI. The main innovation of this model lies on the introduction of two technical innovations: **Set-of-Mark** and **Trace-of-Mark**, and the leverage of a **large amount of unlabeled video data** to learn the spatial-temporal grounding and planning. Please refer to our paper for more technical details. 
 
-The model is developed by Microsoft and is funded by Microsoft Research. 
+## :sparkles: Highlights
+* **Digital and Physical Worlds:** Magma is the first-ever foundation model for multimodal AI agents, designed to handle complex interactions across both virtual and real environments!
+* **Versatile Capabilities:** Magma as a single model not only posseesses generic image and videos understanding ability, but alse generate goal-driven visual plans and actions, making it versatile for different agentic tasks!
+* **State-of-the-art Performance:** Magma achieves state-of-the-art performance on various multimodal tasks, including UI navigation, robotics manipulation, as well as generic image and video understanding, in particular the spatial understanding and reasoning!
+* **Scalable Pretraining Strategy:** Magma is designed to be **learned scalably from unlabeled videos** in the wild in addition to the existing agentic data, making it strong generalization ability and suitable for real-world applications!
 
-The model is shared by Microsoft Research and is licensed under the MIT License. 
-
-The model is developed based on Meta LLama-3 as the LLM.
+NOTE: The model is developed by Microsoft and is funded by Microsoft Research. 
+NOTE: The model is shared by Microsoft Research and is licensed under the MIT License. 
+NOTE: The model is developed based on Meta LLama-3 as the LLM.
 
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@@ -67,8 +71,8 @@ The model is developed based on Meta LLama-3 as the LLM.
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 - **Paper:** [Project Page](https://microsoft.github.io/Magma/)
-- **Repository:** [Magma Github Repo](https://github.com/microsoft/Magma)
-- **Paper:** [arXiv](https://www.arxiv.org/pdf/2502.13130)
+- **Repository:** [Github Repo](https://github.com/microsoft/Magma)
+- **Paper:** [arXiv Paper](https://www.arxiv.org/pdf/2502.13130)
 
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