Thought-Based Reasoning Techniques for LLMs Overview Chain-of-Thought (CoT) prompting and its variants encourage LLMs to generate intermediate reasoning steps before arriving at a final answer, significantly improving performance on complex reasoning tasks. These techniques transform how models approach problems by making implicit reasoning explicit. Quick Reference | Technique | When to Use | Complexity | Accuracy Gain | |-----------|-------------|------------|---------------| | Zero-shot CoT | Quick reasoning, no examples available | Low | +20-60% | | Few-shot CoT | Have good examples, cons…