Sakana AI’s TreeQuest: Deploy multi-model teams that outperform individual LLMs by 30%
VentureBeatThursday, July 3, 2025 at 10:00:19 PM
Sakana AI just unveiled "TreeQuest," a clever new method that gets multiple AI models to work together like a well-coordinated team—outperforming solo models by 30%. Think of it like assembling a group of specialists, each chipping in their strengths, guided by a decision-making system (inspired by game-playing AIs) to tackle tough problems more effectively.
Editor’s Note: If this holds up, it could shake up how we use large language models. Instead of relying on one massive, expensive model, we might get better results by combining smaller, specialized ones—like a brainstorming session where everyone brings unique expertise. For businesses, that could mean smarter AI tools without the usual compute costs. Plus, it hints at a future where AI collaboration, not just raw size, drives progress.
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