Implementation of the first recommendation model based on content page visits.
Collaboration with the Orkad laboratory at the University of Lille on a research-driven approach to AI in training. Recruitment of a PhD candidate.
Implementation of MARS (Mandarine Academy Recommended System), with the creation of nine recommendation algorithms by our PhD candidate.
Integration of OpenAI’s solution in interaction with our MARS model.
Development of AI-powered features and optimisation of content creation using AI…
Personalized recommendations based on each learner’s needs.
An AI chatbot to answer questions and direct users to the right content.
Identifiez les besoins futurs de formation grâce à des données intelligentes.
Hélène V., Training Manager.
Mandarine AI Recommendation: AI that personalizes learning by offering content tailored to the user’s needs and goals.
Mandarine AI Tutor: An intelligent assistant that supports users by answering their questions about training courses.
AI for efficiency and engagement in training!
The key features of Mandarine AI Content.
Mandarine AI Content makes life easier for trainers and learners by structuring and enriching training.