How does prompt engineering influence LLM behavior?

Prompt engineering shapes model outputs by structuring input instructions effectively.

Since LLMs are conditioned on input text, prompt design significantly impacts performance. Techniques include few-shot prompting, chain-of-thought reasoning, and role conditioning.