Chain-of-Thought
term_id: chain_of_thought
Category: training_techniques
Definition
Chain-of-Thought (CoT) prompting is a strategy where large language models are guided to produce step-by-step reasoning explanations before arriving at a final answer. By breaking down complex problems into intermediate logical steps, CoT enhances the model’s ability to handle arithmetic, commonsense, and symbolic reasoning tasks. This technique leverages the model’s latent reasoning capabilities, significantly improving accuracy and interpretability in solving multi-step problems.
Summary
A prompting technique that encourages LLMs to generate intermediate reasoning steps before answering.
Key Concepts
- Prompt Engineering
- Reasoning Steps
- Interpretability
- Zero-Shot CoT
Use Cases
- Solving complex math word problems
- Logical deduction tasks
- Debugging code snippets