Commerce & Services
Education
In education, language models spread quickly; the real problem is the accuracy of the content and the protection of student data.
Problems we address in this sector
- Question-answering systems grounded in institutional content, with source attribution
- Adapting content to level
- Processing student data within privacy boundaries
- Measuring the accuracy of generated content and tracking hallucination
Approaches we apply
- Generative AI & LLMsRAG architectures, domain adaptation and fine-tuning, distillation into smaller models, Turkish evaluation sets and on-premise deployment.
- MLOps & Model OperationsEvaluation infrastructure, observability, hallucination and regression tracking, continuous retraining.
- AI Security & PrivacyRobustness against adversarial attacks, prompt injection defence, learning without sharing data, and model confidentiality.
Other sectors in this group
Do you have a problem in this sector?
Let's define the problem together in a technical consultation; feasibility is assessed at the first stage.