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Interactive 3D/Chain-of-Thought Reasoning
Problem
Display Mode
Accuracy
Direct: 33%
CoT: 94%
+61% gain
Steps revealed
0 / 3

Chain-of-Thought Reasoning - Interactive Visualization

Chain-of-thought prompting elicits intermediate reasoning steps before the final answer, dramatically improving accuracy on multi-hop math, logic, and commonsense problems. CoT is an emergent capability appearing above ~100B parameters. This demo steps through a problem with and without CoT side by side.

  • Side-by-side comparison: direct answer vs chain-of-thought on the same problem
  • Emergent behavior: CoT gains only appear reliably above ~100B parameter scale
  • Step visualization: each intermediate reasoning step highlighted as it is generated
  • Error tracing: see exactly which step fails when CoT still gets the wrong answer

Part of the EngineersOfAI Interactive 3D - free interactive visualizations covering every major concept in machine learning and AI engineering. Hover any element for a plain-English explanation. No code required.