What is Self-Consistency Prompting?

Self-Consistency Prompting is one of the well-known prompting techniques used to interact with artificial intelligence models.

• Prompt Type: Self-Improving
• Definition: The AI answers the same question multiple times and selects the most common response to improve accuracy.
• Typical Use Case: Verifying factual answers or reducing errors in ambiguous queries.
• Advantages: Enhances reliability for uncertain queries; simple to implement.
• Disadvantages: Requires multiple runs, increasing time and computational cost.
• Implementation Tips: Run the prompt at least three times and use a simple majority rule to select the final answer.
• Skill Level Required: Beginner – Easy to implement by repeating prompts, no advanced skills required.

Examples:

1. “Ask ‘What is the boiling point of water?’ three times and choose the answer given most often.”
2. “Query ‘Who invented the telephone?’ three times and select the most frequent response.”
3. “Ask ‘What is the capital of Brazil?’ multiple times and pick the majority answer.”