How to Write Effective Generation Prompts for AI Models

Enhanced Prompt: Crafting Effective Generation Prompts for AI Models

Objective:
To develop well-structured and clear generation prompts that enhance AI model performance and understanding, with measurable outcomes.

Deliverables:
A comprehensive guide comprising 10 strategies, including task breakdown, clarity techniques, and best practices, supported by actionable steps and examples.

1. Clear Prompt Structure and Clarity

• Task Breakdown: Decompose tasks into subtasks, e.g., "Summarize this article into 3 key points."
• Terminology Consistency: Use AI-optimized and industry-standard jargon.
• Multi-Modality: Use text, images, and schemas for richer context.

2. Strategic Exception Handling

• Error Mitigation: Plan for ambiguous queries with fallback strategies.
• Disambiguation: Use hypernyms and antonyms to guide interpretations.

3. prompt Crafting Best Practices

• Scenario-Based Framework: Tailor prompts to specific AI functionalities ( KlIP, Abacus).
• VBEC Model: Incorporate Verbs, Behavioral Intention, Entity, Context for clarity.

4. Technical Considerations

• NLP Tools: Use tools like OpenAI, HuggingFace, or Ant