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README.md
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title: LORA (Learning-Oriented and Reduced-Bias AI)
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LORA is an AI initiative designed to empower children through interactive learning experiences and storytelling. Developed with a focus on educational enrichment, it addresses the gaps in existing AI models, especially for young learners.
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### Mission
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To create a **child-friendly AI** that promotes STEM learning, creativity, and inclusivity through a reduced-bias model.
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### Key Features
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- **Fine-Tuned Models**: LORA uses open-source models fine-tuned with custom-curated, educator-approved datasets.
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- **Interactive Learning**: Focused on STEM concepts, delivered in an engaging and playful manner.
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- **Mobile App Launch**: Aimed at making interactive AI accessible to children worldwide.
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- **API for Developers**: LORA will also offer APIs to integrate child-friendly AI into other educational and entertainment applications.
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### Why LORA Stands Out
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- Developed with **educators and experts** to ensure high-quality, unbiased learning materials.
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- Focused on **child safety and education**, bridging the gap in child-specific AI tools.
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- Aims to outperform leading models like GPT-4 and Gemini in niche educational use cases.
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### Founders
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LORA is spearheaded by **Dima Rubanov** and **Matthias Neumayer**, who have years of experience in software development, AI research, and child-centric content creation.
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### Join Us!
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If you share our passion for reshaping childhood education and storytelling through technology, we’d love to hear from you! Drop us a line at [[email protected]](mailto:[email protected]).
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