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.