By the end of this 90-minute workshop on Prompt Engineering with ChatGPT, participants will be able to:

• Understand how large language models like ChatGPT interpret prompts and generate responses based on context and instruction.

• Craft clear and effective prompts using role, task, context, and formatting cues to guide ChatGPT's output.

• Use prompt structures like step-by-step instructions, comparisons, and “act as” roles to achieve more accurate and useful results.

• Refine and iterate prompts based on output quality to improve clarity, tone, and task alignment.

• Use advanced prompt techniques such as zero-shot, one-shot, and few-shot examples to improve AI performance for different use cases.

• Explore use cases in writing, brainstorming, summarizing, coding, email drafting, and lesson planning to apply prompt engineering in real-world contexts.

• Incorporate constraints like tone, format, audience, or word count to guide ChatGPT responses to meet specific needs.

• Identify and avoid common prompt pitfalls, such as ambiguity, overgeneralization, and biased assumptions.

• Leverage system messages and context stacking to maintain consistency and memory within longer conversations or projects.

• Understand the ethical considerations and limitations of generative AI tools, including accuracy, privacy, and intellectual property concerns.