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README.md
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LORA
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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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###
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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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### Join Us!
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### LORA: Trustworthy AI for Kids
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LORA is the first child-friendly AI in DACH, reducing bias and ensuring appropriate language. Developed by **Oscar Stories**, it helps kids learn STEM through **interactive, personalized storytelling**.
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### Mission
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To create an **inclusive AI** that fosters STEM learning, creativity, and ethical AI use for children.
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### Key Features
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- **Bias-Reduced AI**: Fine-tuned with expert-curated, educator-approved datasets.
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- **Engaging STEM Learning**: Interactive storytelling for young learners.
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- **Mobile App**: Making AI learning accessible worldwide.
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- **API for Developers**: Integrate child-friendly AI into apps and educational tools.
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### Why LORA?
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- Built with **educators and experts** for **high-quality, unbiased learning**.
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- Prioritizes **child safety and engagement**.
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- Aims to **outperform GPT-4 and Gemini** in child-focused education.
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### Founders
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**Dima Rubanov & Matthias Neumayer**
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This keeps it impactful while maintaining clarity. Let me know if you want further refinements! 🚀
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### Join Us!
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