The software: democratizing AI development

The Project Bonsai platform makes machine teaching — a paradigm pioneered by Microsoft — accessible to engineers from various backgrounds, even those with minimal AI expertise. With machine teaching, engineers break complex problems into individual skills and give AI brains important information about how to solve the problem faster.

Pairing machine teaching with elements of reinforcement learning (RL), Microsoft has equipped engineers to create AI that learns by executing decisions and receiving rewards for actions that get it closer to an end goal. While traditional reinforcement learning is a time-consuming, brute force, trial-and-error approach, machine teaching accelerates and improves the training process and even allows engineers to reuse the individual steps for other AI brains in a simulated, auditable environment.

That’s where the power of Moab comes into play: engineers from various backgrounds can realize the potential of Project Bonsai, mastering the skills needed to implement intelligent control systems and exploring the value hold.