Mastering the Art Prompting

Unlock the power of AI with this hands-on session on prompt engineering. You’ll learn how generative AI models work, why smart prompting is now a core design skill, and how to craft prompts that deliver clear, relevant results.

Through live demos and interactive exercises, we’ll cover the anatomy of effective prompts and advanced techniques for using AI tools like ChatGPT, Gemini, and Perplexity for research and ideation. Perfect for UX professionals ready to take AI from buzzword to practical advantage.

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1. Fundamentals

This section will demystify the underlying mechanisms of generative AI, focusing on practical understanding through interactive demonstrations.

• Interactive Model Guessing Game: A live exercise where the model tries to identify what a participant is drawing, demonstrating AI's ability to learn and recognize patterns.
• Three Interactive Gemini/ChatGPT Exercises: Demonstrations showcasing the diverse capabilities and inherent limitations of large language models through practical examples.

2. Why Prompt Engineering is so crucial

This segment will highlight the paramount importance of prompt engineering, positioning it as a fundamental skill for both individual users and businesses.

• User Perspective: Prompt Engineering as the New Microsoft Office: Conceptualizing prompt engineering as an essential tool for everyday productivity, akin to mastering office software.
• Business Perspective: The Vending Machine Concept in AI Product Creation: AI product development used to be expensive and slow. Now, models are readily available, and prompt engineering is key to integrating them and giving them the right instructions.

3. Anatomy of a Good Prompt

This hands-on session will break down the components of an effective prompt and guide participants through the process of creating one.

• Interactive Exercise: Crafting a Prompt from Scratch to Perfection: A guided, step-by-step activity where participants will build and refine prompts, learning best practices for clarity, context, and desired output.

4. What Proper AI Research Should Look Like

The final section will delve into advanced prompt engineering techniques for conducting thorough AI-assisted research and data exploration.

• Building Smart Prompts for Deep Research: Learn how to construct precise queries for tools like Gemini, ChatGPT, and Perplexity, ensuring the model's search is neither too broad nor too narrow, leading to more relevant results.
• Practical application of AI tools like NotebookLM to explore vast amounts of information and pinpoint critical insights within complex datasets.

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