Intro to Prompt Engineering

Large Language Models (LLMs) have significantly impacted various fields, including higher education, advancing rapidly under the lead of commercial tech companies. However, many of these models are sensitive to the quality of user prompts, requiring well-crafted inputs to perform effectively. Studies have identified critical skills for LLM use, including understanding prompt structure, prompt literacy, and advanced methods such as few-shot prompting (providing examples of solved tasks), chain-of-thought prompting (encouraging step-by-step reasoning), and role modeling (assigning specific personas to tasks). This workshop will explore these techniques, highlight common pitfalls, and provide practical guidance to optimize the use of LLMs.