We’re excited to announce a new family of “Mixture of Agents” models optimized for generating synthetic training data. Using our Mixture of Agents (MoA) architecture, we’ve achieved SOTA results on both LMSYS’s Arena Hard Auto (score: 84.8) and AlpacaEval 2.0 (LC score: 68.4).
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