[PROMPT] Few-Shot Chain-of-Thought Reasoning Framework Architecture

[JackaL]

Overview of Few-Shot Chain-of-Thought (CoT) Prompting
Few-Shot Chain-of-Thought prompting combines exemplar-based learning with explicit intermediate reasoning steps to dramatically improve LLM performance on complex logic, mathematical, and multi-step reasoning tasks.

Key Structural Components

• System Persona Definition: Establishes domain authority, objective, and output constraints.
• Demonstration Exemplars (Few-Shot): Provides input, reasoning trajectory, and final answer triplets.
• Explicit Thought Decomposition: Forces the model to generate logical intermediate milestones.
• Target Execution Query: Applies the structured methodology to the new problem instance.

Master Few-Shot CoT Prompt Template
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