After attending this presentation, you will be able to...
Identify strategies to overcome AI’s "lazy" response defaults and elicit deeper analysis.
Apply multi-layered prompting techniques to explore topics from different perspectives and depths.
Evaluate the impact of using candid and contrarian prompts for balanced financial insights.
Use specialized prompts to uncover ripple and cobra effects in financial scenarios.
Develop an "Avoid Stupidity" checklist for avoiding common mistakes in AI-assisted financial tasks.
Integrate perspective-based prompts to receive responses tailored to accounting-specific viewpoints.
Automate repetitive accounting tasks by prompting AI for optimized workflows.
Utilize emotion-driven prompts to improve the quality and engagement of AI responses.
Implement practical prompt engineering techniques to enhance accuracy and depth in financial analysis.
The major topics that will be covered in this course include:
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.