What is Mixture of Agents?
TL;DR
A technique that combines multiple AI models to leverage each one's strengths and produce higher-quality outputs.
Mixture of Agents: Definition & Explanation
Mixture of Agents (MoA) is a technique that combines multiple different AI models in a collaborative manner to generate outputs that surpass what any single model can achieve. Specifically, multiple LLMs each generate responses, and then another LLM integrates and improves those responses to produce the final output. For example, responses from GPT-4o, Claude, and Gemini are analyzed by an integration model that combines the best elements of each. Unlike Mixture of Experts (MoE), which is an internal model architecture, MoA focuses on collaboration between multiple independent models. AI search engines like Genspark utilize this approach.