We explore the principles and best practices of prompt engineering, including key techniques like zero-shot, few-shot, Chain of Thought, ReAct, and more. This episode highlights how careful prompt design and model configuration can significantly improve LLM output quality across diverse use cases—from natural language tasks to code generation and beyond​.