| <!-- KlusAI • Hugging Face Org Card --> | |
| <p align="center"> | |
| <strong>KlusAI</strong><br> | |
| <em>Where AI research meets real-world impact</em> | |
| </p> | |
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| <a href="https://www.klusai.com"> | |
| <img src="https://img.shields.io/badge/Website-klusai.com-blue?logo=google-chrome&logoColor=white" alt="Website"> | |
| </a> | |
| <a href="https://github.com/klusai"> | |
| <img src="https://img.shields.io/badge/GitHub-@klusai-black?logo=github" alt="GitHub"> | |
| </a> | |
| <a href="https://x.com/klusai"> | |
| <img src="https://img.shields.io/badge/X-@klusai-black?logo=x&logoColor=white" alt="X"> | |
| </a> | |
| <a href="https://www.klusai.com/research/"> | |
| <img src="https://img.shields.io/badge/Research-klusai.com-brightgreen?logo=beaker&logoColor=white" alt="Research"> | |
| </a> | |
| </p> | |
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| ## 🔍 What We're About | |
| KlusAI bridges the gap between cutting-edge AI research and production systems. We publish our datasets and models openly to advance the field — **9M+ synthetic training examples** and counting. | |
| **Research Themes:** | |
| - 🧬 **Synthetic Data Generation** — Large-scale training data without privacy concerns | |
| - ⚡ **Efficient AI Systems** — Models that run on consumer hardware | |
| - 🌍 **Multilingual NLP** — With deep Romanian language expertise | |
| --- | |
| ## 📄 Featured Publication | |
| ### Synthetic Data Generation Using Large Language Models | |
| *Advances in Text and Code* — **IEEE Access, 2025** | |
| Our comprehensive survey on generating training data using LLMs. How enterprises can generate training data at scale — reducing annotation costs, addressing data scarcity, and enabling fine-tuning without exposing sensitive data. | |
| 📖 [Read on IEEE Xplore](https://ieeexplore.ieee.org/abstract/document/11080380) · 📝 [arXiv Preprint](https://arxiv.org/abs/2503.14023) | |
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| ## 🔬 Flagship Project: TinyFabulist | |
| **TinyFabulist** is our open research programme on large-scale synthetic narrative generation. We demonstrate that small, efficient models can produce high-quality training data at scale. | |
| | Release | Description | Size | | |
| |---------|-------------|------| | |
| | **TinyFabulist v1** | Synthetic English Fables | ~3M examples | | |
| | *Upcoming* | Multilingual extensions, evaluation benchmarks | — | | |
| **Key principles:** | |
| - 📊 **Scale** — 9M+ synthetic training examples generated | |
| - 🔧 **Efficiency** — All content produced with ≤8B parameter models | |
| - 🔓 **Openness** — Generation scripts, pipelines, and methodology shared publicly | |
| 📄 [Paper (arXiv)](https://arxiv.org/abs/2504.20605) · 💻 [Code (GitHub)](https://github.com/klusai/tinyfabulist) | |
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| ## 📦 What You'll Find Here | |
| - **Datasets** — Large-scale synthetic training corpora for fine-tuning and research | |
| - **Models** — Efficient, instruction-tuned models optimized for specific tasks | |
| - **Evaluation** — Benchmarks and tooling for synthetic data quality assessment | |
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| ## 🤝 Work With Us | |
| Beyond open research, we offer enterprise AI services: | |
| | Service | Description | | |
| |---------|-------------| | |
| | **AI Strategy** | Define your AI roadmap and implementation plan | | |
| | **Custom Development** | Bespoke AI solutions tailored to your domain | | |
| | **Model Training** | Fine-tuning and deploying models for your use case | | |
| | **MLOps & Infrastructure** | Scalable pipelines and production deployment | | |
| **Need custom synthetic data or domain-specific models?** We partner with organizations on applied research challenges. | |
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| ## 📫 Get in Touch | |
| | Purpose | Contact | | |
| |---------|---------| | |
| | Research collaboration | [research@klusai.com](mailto:research@klusai.com) | | |
| | Enterprise services | [services@klusai.com](mailto:services@klusai.com) | | |
| | General inquiries | [hello@klusai.com](mailto:hello@klusai.com) | | |
| > **Technical questions?** Open an issue on the relevant dataset or model repository. | |
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| <p align="center"> | |
| <strong>Applied Research · AI Services · Ventures</strong><br> | |
| <a href="https://klusai.com">klusai.com</a> · <a href="https://github.com/klusai">GitHub</a> · <a href="https://x.com/klusai">X</a> | |
| </p> |