Building effective AI tutors for non-English regions requires both technical efficiency (faster inference on consumer hardware) and domain-specific learning (accumulating local knowledge from real interactions rather than relying on pre-training).
DeepEdu-v1 is an AI tutoring system for Vietnamese students that runs locally to protect data privacy and avoid hallucinations from Western-trained models. It uses two key innovations: a smarter way to handle long conversations that reduces processing time by 35%, and a self-improving system that learns from past tutoring interactions instead of requiring expensive retraining.