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Generated Knowledge
Generated Knowledge prompting has the AI first produce pertinent facts or information before addressing the main query, enriching the response with self-sourced details for greater depth in knowledge-based inquiries, and the analogy is like a teacher recalling key facts before explaining a lesson, ensuring the explanation is grounded in solid information.
Examples
User Prompt: Generate 3 facts about gravity, then explain. AI Response: 1. Newton's law. 2. Einstein's relativity. Explanation: Pulls objects.
User Prompt: Generate 3 tips for cooking, then recipe. AI Response: 1. Prep ingredients. 2. Season well. Recipe: Pasta boil.
User Prompt: Generate 3 history facts, then summarize event. AI Response: 1. WWI start. Summary: War in Europe.
Advantages
- Improves factual depth, enhancing prompt efficiency for informative tasks.
- Reduces hallucinations by self-generating knowledge, making outputs reliable.
- Boosts educational responses, aligning prompts with knowledge-building.