Chain Of Thought

A comprehensive prompt engineering skill that teaches advanced techniques like chain-of-thought, few-shot learning, structured outputs, and prompt optimization. Includes reference documentation, template libraries, and a Python script for A/B testing prompts to improve LLM performance.

A comprehensive reference guide for thought-based reasoning techniques in LLMs. Covers Chain-of-Thought prompting, Zero-shot CoT, Self-Consistency, Tree of Thoughts, ReAct, PAL, and Reflexion with prompt templates, decision matrices, and best practices for improving complex reasoning tasks.