A company wants to enhance response quality for a large language model (LLM) for complex problem-solving tasks. The tasks require detailed reasoning and a step-by-step explanation process.
Which prompt engineering technique meets these requirements?
This technique encourages the model to explain its reasoning step by step, which is ideal for tasks that require detailed reasoning and complex problem-solving.
Chain-of-thought (CoT) prompting is one of the oldest “chain of” methods for improving LLM performance – in particular in the context of queries or tasks that need complex, human-like reasoning to reach an answer.
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