Post
1411
Successfully defended my thesis yesterday 🚀
Glad that my supervisor gets the innovation behind it - “An Adaptive Virtual Intelligent Tutor that autonomously learns and adjusts to your learning preferences”
The Intuitive Approach: fine-tune a high performant pre-trained large language model on a rich task-specific dataset (in my case code instruction dataset with adaptive instructions on how to teach coding/solve coding problems with adherence to the student’s learning style)
Then apply Retrieval-Augmented Generation (RAG) during inference to update the knowledge base of the model in real-time with adaptive features learned from conversations with the model over time.
The app supports both real-time voice chat with an intelligent 3D Avatar (made with Soulmachine's Digital DNA studio) powered by the fine-tuned model and text chat with the locally hosted fine-tuned model.
With enough interactions you get an objective driven, task-specific and adaptive personalized tutor that completely gets you (knows your learning pace, your learning style and preferences).
This is what I feel is missing in today’s AI systems - Autonomously Adaptive Assistants (AAA) - and oh I’m currently writing a paper on this:)
Glad that my supervisor gets the innovation behind it - “An Adaptive Virtual Intelligent Tutor that autonomously learns and adjusts to your learning preferences”
The Intuitive Approach: fine-tune a high performant pre-trained large language model on a rich task-specific dataset (in my case code instruction dataset with adaptive instructions on how to teach coding/solve coding problems with adherence to the student’s learning style)
Then apply Retrieval-Augmented Generation (RAG) during inference to update the knowledge base of the model in real-time with adaptive features learned from conversations with the model over time.
The app supports both real-time voice chat with an intelligent 3D Avatar (made with Soulmachine's Digital DNA studio) powered by the fine-tuned model and text chat with the locally hosted fine-tuned model.
With enough interactions you get an objective driven, task-specific and adaptive personalized tutor that completely gets you (knows your learning pace, your learning style and preferences).
This is what I feel is missing in today’s AI systems - Autonomously Adaptive Assistants (AAA) - and oh I’m currently writing a paper on this:)
