Prompt-Me-In: A Guide to Prompting Styles and User Enablement

Title: Prompt-Me-In! A Guide to Prompting Styles for AI Adoption

Presented by: Lance D. Lingerfelt

Overview: Join Lance D. Lingerfelt, an experienced MCT and M365 Specialist, for an engaging and insightful session on the art of prompt engineering in AI. This presentation is designed to empower IT professionals and AI learners with the knowledge and skills needed to effectively interact with AI systems through various prompting styles. With over 20 years of experience in IT and AI, Lance brings a wealth of expertise and practical insights to this session.

Session Highlights:

• Introduction to Prompt Engineering: Understand the fundamental concepts of prompt engineering and its significance in enhancing AI adoption. Learn how different prompting techniques can guide user interaction, improve user experience, and drive successful AI integration.
• Exploration of Eight Prompting Styles: Dive deep into eight prominent prompting styles that are shaping the future of AI interaction:
  • Chain-of-Thought Prompting: A step-by-step reasoning process that guides users towards a solution by building on each prompt.
  • Tree-of-Thought Prompting: A problem-solving approach that explores multiple thought branches to help users consider various options and choose the best one.
  • Maieutic Prompting: Inspired by the Socratic method, this style uses open-ended questions to help users clarify their thinking and arrive at their own conclusions.
  • Complexity-Based Prompting: Adjusts prompts to complexity levels, providing the right level of guidance based on the user's skill level and the complexity of the task.
  • Generated Knowledge Prompting: Leverages existing knowledge bases to provide users with relevant information and insights that can help solve problems.
  • Least-to-Most Prompting: Uses a graduated guidance approach, starting with minimal guidance and gradually providing more as needed.
  • Self-Refine Prompting: An iterative self-improvement process that helps users learn from their mistakes and improve their skills over time.
  • Directional-Stimulus Prompting: Provides directional hints to help users focus on the most important aspects of a problem.

Practical Applications and Examples: For each prompting style, Lance will provide detailed examples and practical applications, illustrating how these techniques can be used to enhance AI adoption. Attendees will learn how to structure their prompts effectively, improve their problem-solving skills, and build confidence in using AI tools.

End Goals for Trainers: The session will emphasize the end goals for trainers, including gaining user understanding of AI, linking human thought to AI thought, providing a better user experience, helping users feel educated on prompting, and driving successful prompting.

Interactive Q&A Session: The presentation will conclude with an interactive Q&A session, allowing attendees to ask questions and see live demonstrations of prompt engineering in action. Lance will also share additional resources for expanded learning, including links to his blog and other websites.

Why Attend: This session is a must-attend for IT professionals and AI learners who want to stay ahead in the rapidly evolving field of AI. By mastering the art of prompt engineering, attendees will be better equipped to harness the full potential of AI technologies and drive successful AI adoption within their organizations.