Core concepts, advanced techniques like Chain-of-Thought and Reflection, and the principles behind building LLM-based agents are introduced and a survey of tools for prompt engineers is provided.
Prompt design and engineering has rapidly become essential for maximizing the potential of large language models. In this paper, we introduce core concepts, advanced techniques like Chain-of-Thought and Reflection, and the principles behind building LLM-based agents. Finally, we provide a survey of tools for prompt engineers.