Update README.md

README.md

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-# BrahmAI
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+# BrahmAI 
 ## Science-Driven Foundation Models
 
 Building foundation models through rigorous scientific principles and fundamental research.
 
 ## Vision
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 BrahmAI develops foundation models that prioritize scientific understanding over empirical scaling. Our approach integrates principles from computational neuroscience, physics, mathematics, and cognitive science to create genuinely intelligent systems.
 
 ## Approach
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 ### Core Principles
 - **Scientific Rigor**: Every architectural decision grounded in empirical research
 - **Theoretical Foundations**: Built on robust mathematical and computational frameworks
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 - Continual learning systems
 
 ## Models
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 | Model | Focus Area | Status |
 |-------|------------|---------|
 | **BrahmAI-Core** | General intelligence | Research |
@@ -32,7 +28,6 @@ BrahmAI develops foundation models that prioritize scientific understanding over
 | **BrahmAI-Code** | Program synthesis | Research |
 
 ## Capabilities
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 ### Target Domains
 - Natural language understanding and generation
 - Mathematical reasoning and theorem proving
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 - Cross-domain transfer capabilities
 
 ## Technical
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 ### Architecture
 Novel approaches to:
 - Attention mechanisms
@@ -62,21 +56,18 @@ Novel approaches to:
 - Comprehensive evaluation suite
 
 ## Resources
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 - [Research Papers](https://papers.brahmai.ai)
 - [Technical Documentation](https://docs.brahmai.ai)
 - [GitHub](https://github.com/brahmai)
 - [Blog](https://blog.brahmai.ai)
 
 ## Collaboration
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 We collaborate with leading research institutions and organizations advancing the frontiers of artificial intelligence.
 
 For research partnerships: [email protected]  
 For general inquiries: [email protected]
 
 ## Team
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 Interdisciplinary team spanning:
 - Machine Learning
 - Theoretical Computer Science
@@ -84,12 +75,8 @@ Interdisciplinary team spanning:
 - Physics & Mathematics
 - Systems Engineering
 
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 <div align="center">
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 [![GitHub](https://img.shields.io/badge/GitHub-BrahmAI-black)](https://github.com/brahmai)
 [![Papers](https://img.shields.io/badge/Papers-Research-blue)](https://papers.brahmai.ai)
 [![Documentation](https://img.shields.io/badge/Docs-Technical-green)](https://docs.brahmai.ai)
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 </div>