Definition

An advanced form of prompt chaining that involves running multiple prompt chains, often across different models or configurations, and then merging their results using an evaluator function.

Why it matters (in Poovi’s context)

Enables sophisticated aggregation and evaluation of AI outputs, allowing for robust decision-making and refining results by combining diverse perspectives from multiple model runs.

Key properties or components

  • Parallel processing of chains
  • Result merging
  • Evaluator function
  • Consensus building

Contradictions or debates

None.

Sources