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README.md
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title: README
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---
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title: README
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emoji: ⚡
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colorFrom: green
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sdk: static
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license: cc-by-4.0
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thumbnail: >-
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https://cdn-uploads.huggingface.co/production/uploads/65b36226d1164871bea7b44e/i366z3fgsPHioZiMGR4fG.png
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short_description: Small Enough to Care Big Enough to Success
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---
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# RSA Team
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## About Us
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RSA Team is an AI/ML research and development organization focused on advancing natural language processing capabilities for underrepresented languages, particularly those in the Balkan region. We build high-quality datasets, develop language models, and create tools that bridge the gap between cutting-edge AI technology and linguistic diversity.
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## Our Mission
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We are committed to democratizing AI technology by:
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- **Building Language Resources**: Creating comprehensive datasets for Serbian, Bosnian, Croatian, and other Balkan languages
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- **Advancing NLP Research**: Developing state-of-the-art models tailored for multilingual and low-resource language scenarios
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- **Open Source Contribution**: Sharing our work with the global AI community to foster collaboration and innovation
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- **Practical Applications**: Bridging research and real-world applications in healthcare, document processing, and enterprise systems
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## Focus Areas
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### Natural Language Processing
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We specialize in NLP tasks including text classification, named entity recognition, machine translation, and sentiment analysis for Balkan languages.
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### Multilingual AI Models
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Our work emphasizes creating models that perform well across multiple related languages while preserving linguistic nuances and cultural context.
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### Healthcare Technology
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We develop AI-powered solutions for healthcare systems, including FHIR-compliant data processing, medical document analysis, and clinical decision support tools.
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### Document Intelligence
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Advanced OCR, information extraction, and document understanding systems with particular focus on multilingual document processing.
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## Our Datasets
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We curate and publish high-quality datasets designed for:
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- Training and fine-tuning large language models
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- Benchmarking NLP systems on Balkan languages
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- Research in multilingual and cross-lingual transfer learning
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- Building practical AI applications with strong language support
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Each dataset includes comprehensive documentation, usage examples, and integration guidelines for popular ML frameworks.
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## Technology Stack
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Our projects leverage modern AI/ML technologies including:
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- Transformers and large language models
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- PyTorch and TensorFlow
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- Hugging Face ecosystem
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- FHIR standards for healthcare interoperability
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- Full-stack development (Java, Python, Flutter, Oracle)
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## Community & Collaboration
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We believe in open collaboration and knowledge sharing. Whether you're a researcher, developer, or organization working on similar challenges, we welcome:
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- Dataset contributions and improvements
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- Model fine-tuning and evaluation
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- Bug reports and feature requests
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- Research collaborations
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- Use cases and application feedback
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## Contact
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- Website: [https://rsateam.com](https://rsateam.com)
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- GitHub: [@rsadevteam](https://github.com/rsadevteam)
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- Hugging Face: [@rsateam](https://huggingface.co/rsateam)
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## License
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Unless otherwise specified, our datasets and models are released under permissive licenses to encourage both academic research and commercial applications. Please refer to individual repository licenses for specific terms.
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## Citation
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If you use our resources in your research or applications, please cite:
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```bibtex
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@misc{rsateam2026,
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author = {RSA Team},
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title = {Balkan Language Resources and Models},
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year = {2026},
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publisher = {Hugging Face},
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howpublished = {\url{https://huggingface.co/rsateam}}
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}
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```
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*Building bridges between languages and AI, one dataset at a time.*
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