← Back to Guide
Self Consistency

Self Consistency prompting involves producing several responses to the same query and selecting the most frequent or consistent one, which helps in minimizing variability and increasing the trustworthiness of the output for tasks where accuracy is paramount, and the analogy is like polling a group of experts on a question and choosing the answer the majority agrees on, ensuring the result is reliable through consensus.

Examples

User Prompt: Generate 3 answers for 5+5 and choose the consistent one. AI Response: 10 (all agree).

User Prompt: Provide 3 summaries of Romeo and Juliet and select the consistent version. AI Response: Lovers from feuding families die tragically.

User Prompt: Generate 3 translations of 'Hello' to French and choose consistent. AI Response: Bonjour.

Advantages

  • Improves accuracy by cross-checking responses, enhancing prompt efficiency for reliable outputs.
  • Reduces variability in answers, making results more trustworthy.
  • Boosts confidence in factual tasks, aligning prompts with consistent reasoning.