Few-shot CoT is the prompting approach that provides worked reasoning examples to teach both task solution pattern and intermediate-step style - it improves structured reasoning consistency on complex tasks.

What Is Few-shot CoT?

• Definition: Combination of few-shot demonstrations and chain-of-thought rationale in each example.
• Guidance Effect: Shows not only the answer format but also the desired reasoning trajectory.
• Task Fit: Strong for heterogeneous reasoning tasks where zero-shot triggers are inconsistent.
• Token Tradeoff: Higher prompt cost due to inclusion of multi-step demonstrations.

Why Few-shot CoT Matters

• Reasoning Robustness: Demonstration-guided rationale improves consistency across hard inputs.
• Format Fidelity: Encourages stable intermediate-step and final-answer structure.
• Error Reduction: Reduces hallucinated shortcuts by anchoring to exemplars.
• Domain Steering: Allows injection of domain-specific reasoning norms.
• Method Synergy: Often pairs effectively with self-consistency for additional gains.

How It Is Used in Practice

• Exemplar Selection: Include diverse problems with correct, concise reasoning and clean final answers.
• Prompt Compression: Keep examples compact to preserve context for target question.
• Benchmarking: Evaluate benefit relative to token cost and latency constraints.

Few-shot CoT is a powerful prompt-engineering technique for complex reasoning workflows - curated reasoning examples can materially improve reliability when simple zero-shot cues are insufficient.