Metric | MoA Model Performance |
---|---|
AlpacaEval 2.0 | 65.1% |
MT-Bench | Top-performance |
FLASK | Exceeds GPT-4 Omni |
Recent advances in LLMs have shown significant capabilities in natural language tasks. The MoA approach constructs a layered architecture with LLM agents, achieving top performance on AlpacaEval 2.0 and other benchmarks. This research highlights the power of collective LLM expertise in enhancing AI capabilities and sets a new benchmark for future models.