How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving
In this tutorial, we construct a complicated meta-cognitive management agent that learns how to regulate its personal depth of pondering. We deal with reasoning as a spectrum, starting from quick heuristics to deep chain-of-thought to exact tool-like fixing, and we prepare a neural meta-controller to determine which mode to use for every job. By optimizing…
