Improving Accuracy in AI Responses

TLDR: To tackle misinformation from AI tools, it’s crucial to use effective prompt techniques, evaluate outputs, and iterate. Here’s a guide to refining AI interactions.

Key Strategies

• Clarify Roles: Define who is writing the text, the purpose, and the target audience.
• Provide Context: Attach a PDF document to set clear boundaries.
• Request References: Ask for a list of sources to back up the information provided.
• Fact Checklist: Request a checklist to verify facts.
• Encourage Honesty: Specify that if the AI doesn’t know something, it should admit it.

Columbia University’s 4-Step Method

Columbia University developed a structured approach to prompt engineering, consisting of:

1. Set a Goal: Define the objective of the AI interaction.
2. Design a Prompt: Create a prompt that guides the AI effectively.
3. Evaluate: Assess the AI’s response for accuracy and relevance.
4. Iterate: Refine the prompt and repeat the process for better results.

Prompt Design Techniques

Here are some recommended techniques for designing effective prompts:

• Reverse Interaction: Start with the desired output and work backward to design the prompt.
• Question Improvement: Refine the questions to get more precise answers.
• Real Checklist: Use a checklist to ensure the AI addresses all key points.

Source: Prompt Engineering: a methodology for optimizing interactions with AI-Language Models in the field of engineering by Juan David Velásquez-Henao, Carlos Jaime Franco-Cardona & Lorena Cadavid-Higuita.

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