Update README.md

README.md

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 **BrestStormTeam**
 
 **Mission:**  
-To push the boundaries of efficient AI model training by developing the largest-scale State Space Model (SSM) with the smallest infrastructure footprint possible. We are committed to minimizing both economic costs and ecological impact without compromising linguistic performance.
+We aim to efficiently train large-scale State Space Models (SSM) while significantly reducing infrastructure usage. Our goal is to minimize economic and environmental impacts without substantially compromising linguistic performance.
 
 **Model:**  
-**Tempest-LLM** – a state-of-the-art model based on **Mamba2**, utilizing advanced compression techniques achieving an encoding efficiency of **1.58 bits per parameter**.
+**Tempest-LLM** – an efficient language model based on **Mamba2**, leveraging advanced compression methods to achieve an encoding efficiency of **1.58 bits per parameter**.
 
 **Training Approach:**  
 Our model benefits from a balanced multilingual training strategy, ensuring equal proficiency in:
@@ -21,14 +21,12 @@ Our model benefits from a balanced multilingual training strategy, ensuring equa
 - 🇬🇧 **English**
 - 🇪🇸 **Spanish**
 
-This equidistributed multilingual training enhances linguistic versatility and cultural adaptability across different languages and contexts.
+This multilingual training enhances linguistic versatility and cultural adaptability across different languages and contexts.
 
 **Impact:**  
-- **Economic:** Reduced computational infrastructure leads to significantly lower operational costs.
-- **Ecological:** Lower power consumption and infrastructure needs substantially decrease environmental footprint.
-- **Performance:** Maintains high linguistic accuracy and fluency despite compression and optimization.
+- **Economic:** Reduced computational infrastructure leads to lower operational costs.
+- **Ecological:** Lower power consumption and minimal infrastructure requirements decrease environmental footprint.
+- **Performance:** Maintains robust linguistic accuracy and fluency despite compression and optimization.
 
 **Vision:**  
-BrestStormTeam aims to demonstrate that cutting-edge linguistic AI technologies can be powerful, accessible, and sustainable, setting a new standard in responsible AI innovation.
-
-
+BrestStormTeam is committed to showing that linguistic AI technologies can be both powerful and sustainable, contributing responsibly to AI innovation.