Lesson 1: Developing New Skills: Prompt Engineering, AI Tool Evaluation
Objective
- Students will deepen their understanding of prompt engineering and develop a framework for evaluating and selecting appropriate AI tools for creative tasks.
Key Ideas
- Prompt Engineering: Beyond the Basics
- Advanced Prompting Techniques:
- Role-Playing: Instructing the AI to act as a specific persona (e.g., "Act as a seasoned marketing strategist...").
- Chain-of-Thought Prompting: Breaking down complex tasks into smaller, sequential steps for the AI to follow.
- Few-Shot Learning: Providing examples within the prompt to guide the AI's output style or format.
- Temperature/Creativity Control: Understanding how parameters affect AI's output (more creative vs. more factual).
- Iterative Refinement: The continuous process of adjusting prompts based on AI output to achieve desired results.
- Advanced Prompting Techniques:
- AI Tool Evaluation Framework
- Purpose & Fit: Does the tool solve a specific creative problem or enhance a workflow?
- Capabilities & Limitations: What can it really do? What are its known weaknesses or biases?
- Ease of Use & Integration: How steep is the learning curve? Does it play well with other tools in your stack?
- Cost & Licensing: Free vs. subscription, commercial use rights, data privacy policies.
- Community & Support: Is there an active community? Good documentation? Responsive support?
- Ethical Considerations: How was it trained? What are its potential biases? Is it transparent?
- Staying Current in a Rapidly Evolving Landscape
- Follow industry news, research papers, and reputable AI blogs.
- Experiment regularly with new tools and features.
- Participate in online communities and forums.
In-Lesson Activities
- Advanced Prompting Challenge: Provide students with a complex creative task (e.g., "Write a short, humorous script for a 30-second animated commercial for a new eco-friendly cleaning product, targeting Gen Z, in the style of a TikTok trend"). Have them apply advanced prompting techniques to get the best possible output from an LLM.
- AI Tool Review: Assign students a new or unfamiliar AI tool. Using the evaluation framework, have them research and present a brief review of the tool, including its pros, cons, and ideal use cases for a creative professional.
Talking Points
- "Prompt engineering is less about magic words and more about clear thinking and iterative communication."
- "Don't just adopt a tool because it's new. Evaluate it critically against your specific needs and ethical standards."
- "The most valuable skill in the AI era might be the ability to learn and unlearn quickly."