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Series 2: Meta-Cognitive Techniques

This series explores meta-cognitive approaches that teach LLMs to think about their own thinking processes and improve their reasoning quality.

Articles in This Series​

  • Article 36: Meta-Cognition Prompting: Teaching Models to Think About Thinking (Coming Soon)
  • Article 37: Self-Skepticism Reinforcement: Building Critical Thinking (Coming Soon)
  • Article 38: Adversarial Self-Critique: Improving Through Opposition (Coming Soon)
  • Article 39: Iterative Contradiction Resolution: Resolving Conflicts (Coming Soon)
  • Article 40: Cognitive Dissonance Induction: Forcing Deeper Analysis (Coming Soon)

Series Overview​

This series delves into meta-cognitive techniques that enhance LLMs' ability to monitor and improve their own thinking processes. We'll explore methods for building critical thinking, self-evaluation, and iterative improvement in AI reasoning.

Learning Objectives​

By the end of this series, you will:

  • Understand meta-cognitive prompting techniques
  • Know how to build self-skepticism and critical thinking
  • Be able to implement adversarial self-critique
  • Understand iterative contradiction resolution
  • Know how to induce cognitive dissonance for deeper analysis

Prerequisites​

  • Completion of Series 1: Reasoning and Thinking Patterns
  • Understanding of advanced reasoning techniques
  • Experience with complex reasoning tasks