The major topics that will be covered in this course include:
- Introduction to Prompt Engineering: Basics of structuring effective prompts for meaningful AI responses.
Understanding AI's "Lazy" Defaults: Why LLMs provide basic answers and how to push them to deliver richer insights.
Multi-Layered Prompting: Techniques to encourage AI to provide responses across beginner to expert levels.
Candid and Contrarian Responses: Using prompts that elicit honest and balanced insights, even on controversial topics.
Ripple Effect and Cobra Effect: Probing the broader impacts and unintended consequences of financial decisions.
Avoid Stupidity Checklist: A practical prompt for reducing mistakes in AI-assisted accounting tasks.
Role-Based Perspective Prompts: Crafting prompts that guide AI to respond from specific professional viewpoints.
Automation Ideas: Leveraging AI to optimize repetitive accounting tasks.
Emotion-Driven Prompting: Exploring how emotion-focused prompts can enhance AI performance and engagement.
Practical Applications in Accounting: How to apply prompt engineering in real-world financial analysis and decision-making.