Genspark
  • Introducing World’s First Mixture-of-Agents (MoA) System
    • Overview
    • What Sets MoA Apart?
    • How MoA Works
    • Expanding Reliability Across Applications
    • Setting a New Standard for Trustworthy AI
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  1. Introducing World’s First Mixture-of-Agents (MoA) System

How MoA Works

  1. Collective Insights: Each model contributes its specialized response, enriching the overall pool of information and providing unique perspectives tailored to the task.

  2. Reflection and Refinement: MoA reflects on the diverse responses, thoughtfully merges them, and identifies key consistencies, enhancing the output by resolving differences and building on the strengths of each contribution.

  3. Trustworthy Output: The final response is polished, coherent, and deeply reliable—a true synthesis of the best insights from multiple models, ensuring quality that users can trust.

PreviousWhat Sets MoA Apart?NextExpanding Reliability Across Applications

Last updated 3 months ago