Coral Protocol challenges the trend of developing larger AI models by demonstrating better performance with smaller, coordinated systems. In a performance test, Coral outperformed Microsoft-backed Magnetic-UI by 34 percent using multiple smaller AI models, focusing on horizontal scaling. The GAIA Benchmark, a rigorous test for AI capabilities, evaluates models on their ability to solve complex real-world problems, rather than just memorized knowledge. Coral's approach is to distribute intelligence across specialized agents, enhancing efficiency, adaptability, and reducing costs compared to traditional, larger models.
Coral Protocol's approach does not focus on size, but rather on function, coordination, and collaboration between smaller specialized agents.
The GAIA Benchmark is one of the most rigorous tests in artificial intelligence, evaluating AI models on their ability to solve complex real-world problems.
Coral topped the GAIA charts for mini-models, validating the alternative thought of stacking multiple smaller agents in a coordinated system.
Coral Protocol distributes intelligence across multiple smaller models using a multi-agent coordination system, making the AI efficient, adaptable, and lower in cost.
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