Prompt Engineering

Prompt Engineering is the practice of designing and refining the inputs (prompts) given to Large Language Models to get better, more reliable outputs.

It includes techniques like giving the model a role, providing examples in the prompt (In-Context Learning), and asking it to reason step by step (Chain-of-Thought Prompting Elicits Reasoning in Large Language Models).

Key topics: - Role (Prompt Engineering) - Agentic Reasoning - Zero-Shot Prompting