Update README.md

README.md

@@ -18,7 +18,7 @@ pipeline_tag: text-generation
 
 # 🛡️ HEBATRON: Hebrew-Specialized Mamba2-MoE
 
-HEBATRON is a state-of-the-art, high-performance language model specialized for the Hebrew language. Developed through a collaboration between **PwC Israel** and **MAFAT**, it introduces a unique hybrid architecture combining **Mamba2** and **Mixture-of-Experts (MoE)**.
+HEBATRON is a state-of-the-art, high-performance language model specialized for the Hebrew language. Developed through a collaboration between **PwC Israel** and **MAFAT** and **AWS**, it introduces a unique hybrid architecture combining **Mamba2** and **Mixture-of-Experts (MoE)**.
 
 ## 🚀 Model Summary
 HEBATRON is designed to handle the structural and morphological complexities of Hebrew while providing linear scaling for long-context tasks. It is a localized and enhanced version of the **Nemotron-3-Nano-30B** framework, optimized for native-level reasoning in Hebrew and English.
@@ -79,4 +79,5 @@ The model was trained using a three-phase **Curriculum Learning** strategy:
 * **PwC Israel Team:** Noam Kayzer, Dan Revital, Ori Bar Joseph, Smadar Arbatz, Or Levi, Kate Zinkovskaia, Omer Baruch (PwC Next)
 * **MAFAT Team:** Noam Ordan
 * **Partners:** Amir Nissan Hacohen (Origin.ai)
-* **Research Collaborators:** Shaltiel Shmidman (Dicta)
+* **Research Collaborators:** Shaltiel Shmidman (Dicta)
+  **AWS Infrastructure Support:** Ilouz Netanel