Google's Prompt Engineering Course - Summary

Course Structure

• Four Modules:
  1. Writing Prompts like a Pro
  2. Designing Prompts for Everyday Work Tasks
  3. Using AI for Data Analysis and Presentations
  4. Using AI as a Creative or Expert Partner

Module 1: Writing Prompts like a Pro

• Prompting is giving specific instructions to a Gen tool to achieve desired outcomes.
• Five-step framework for designing a prompt:
  1. Task - Define what you want the AI to do.
  2. Context - More context yields better output.
  3. References - Provide examples to clarify.
  4. Evaluate - Assess if the output matches your needs.
  5. Iterate - Refine prompts to improve results.
• Mnemonic for framework: Tiny Crabs Ride Enormous Iguanas.

Four Iteration Methods

1. Revisit the framework - Add more references, context, or persona.
2. Separate prompts into shorter sentences.
3. Use different phrasing or analogous tasks.
4. Introduce constraints to narrow focus.

• Mnemonic: Rahen Saves Tragic Idiots.

Multimodal Prompting

• Interact with AI using text, images, audio, video, and code.
• Provide clear input/output specifications.

Issues with AI

• Hallucinations: AI providing incorrect or nonsensical outputs.
• Biases: AI may reflect human biases.
• Approach: Use Human in the Loop to verify outputs.

Module 2: Designing Prompts for Everyday Work Tasks

• Focuses on practical use cases using the established frameworks.
• Examples include writing emails, creating tables, summarizing documents, etc.
• Build a prompt library for frequently used tasks.

Module 3: Using AI for Data Analysis and Presentations

• Caution: Be mindful of data privacy when using AI.
• Examples:
  • Create new columns in spreadsheets.
  • Generate insights from data sets.
• Presentation prompts to aid in creating slides and visual content.

Module 4: Using AI as a Creative or Expert Partner

Advanced Prompting Techniques

• Prompt Chaining: Guide AI through a series of interconnected prompts.
• Chain of Thought Prompting: Ask AI to explain its reasoning step-by-step.
• Tree of Thought Prompting: Explore multiple reasoning paths.

Using Agents

• Agent Sim: Simulate scenarios like interviews or role-playing.
• Agent X: Provide expert feedback on various topics.
• Creating AI Agents:
  1. Assign a persona.
  2. Provide detailed context.
  3. Specify conversation types/interaction rules.
  4. Provide a stop phrase.
  5. Feedback on conversation improvements.

Conclusion

• This course provides a comprehensive framework for generating effective AI prompts.
• Assessment at the end to reinforce learning.