TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models

TL;DR

TrueReason is a personalized learning system that combines multiple specialized AI models with large language models to mimic micro skills, enabling complex reasoning and planning for education.

Contribution

It introduces a novel architecture integrating micro skills with LLMs for personalized education, demonstrating a step towards complex cognitive AI systems.

Findings

Prototype architecture integrating micro skills and LLMs

Implementation of two micro skills in the system

Initial demonstration of complex cognitive task handling

Abstract

Personalised education is one of the domains that can greatly benefit from the most recent advances in Artificial Intelligence (AI) and Large Language Models (LLM). However, it is also one of the most challenging applications due to the cognitive complexity of teaching effectively while personalising the learning experience to suit independent learners. We hypothesise that one promising approach to excelling in such demanding use cases is using a \emph{society of minds}. In this chapter, we present TrueReason, an exemplar personalised learning system that integrates a multitude of specialised AI models that can mimic micro skills that are composed together by a LLM to operationalise planning and reasoning. The architecture of the initial prototype is presented while describing two micro skills that have been incorporated in the prototype. The proposed system demonstrates the first step in building sophisticated AI systems that can take up very complex cognitive tasks that are demanded by domains such as education.