"In working with AI-generated stories, we found that male children were often depicted as heroes, while female characters were frequently cast as victims. Additionally, the language used, even by GPT-4, is far from child-appropriate. With LORA, we are developing an AI adoption for children that reduces bias and ensures safe, educational experiences," said Dima Rubanov.
"LORA is currently in development and aims to offer a superior AI experience for children's education. Unlike existing models, LORA is built on fine-tuned, open-source models, drawing from high-quality, custom-curated datasets created in collaboration with educators. The goal is to outperform current models like GPT-4 or Gemini in both language simplicity and bias reduction."
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