README.md

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title: Express Labs
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# Welcome to Express Labs! 🏢

At **Express Labs**, we are dedicated to building efficient and scalable natural language processing (NLP) models that push the boundaries of what is possible with AI. Our flagship project, **KANEX** (Kolmogorov-Arnold Network Express Model), leverages innovative techniques to provide lightweight yet powerful solutions for a variety of NLP tasks.

## About KANEX
KANEX is a compact and efficient language model based on Kolmogorov-Arnold Networks (KANs). It is designed to handle a range of NLP applications, including:

- Text Generation
- Document Summarization
- Long-Form Question Answering
- Text Classification
- Language Understanding

## Features
- **KAN-based Attention**: Efficient attention mechanisms with O(n log n) complexity.
- **Small and Efficient**: Resource-friendly training on limited hardware.
- **Scalable**: Hierarchical structure for diverse NLP tasks.
- **Memory Efficient**: Enhanced memory management for long-sequence tasks.

## Get Involved!
We welcome collaboration and contributions from the community. Whether you're a researcher, developer, or enthusiast, feel free to explore our repositories, provide feedback, and join us in advancing NLP technology!

## Contact
For inquiries, please reach out to us through our Hugging Face profile or visit our [GitHub](https://github.com/your-github-repo) for more information.

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🌟 Join us in shaping the future of AI!