Beyond Simple Questions: How Advanced Prompt Engineering Unlocks GenAI's True Power

Employees need to develop their prompt engineering skills to get the most out of Generative AI, and organizations should build communities of practice to help them learn from each other and advance their capabilities.


  • Basic prompt engineering: Involves adding details to prompts to get better results. Examples include specifying the industry and goal of a question.
  • Advanced prompt engineering: Considers the prompt as a briefing for a consultant. It involves defining the goal, describing the situation, giving context, and explaining the desired output.
  • Chain-of-thought prompting: Takes the GenAI through the thinking process step-by-step, similar to working with a peer on a complex problem.
  • Few shot prompting: Provides the GenAI with examples of how to do something, like showing it good prompts for a similar task.
  • Not everyone needs advanced skills: Most people won't need advanced prompts, but organizations should have some people who understand them to unlock the full potential of GenAI.
  • Communities of practice: The best way to learn prompt engineering is through communities of practice where people can share knowledge and learn from each other. L&D is well-positioned to set up and support these communities.
  • The future of prompt engineering: It's possible that GenAI will eventually be able to do its own prompt engineering better than humans. However, for now, it's important to give employees the support they need to develop their skills.


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