Robert Youssef

Together AI introduced Mixture-of-Agents, a technique that enables open-source language models to surpass GPT-4o on benchmarks without fine-tuning or training. The approach queries multiple LLMs with the same question and aggregates their responses through another model to achieve superior performance.

Together AI published a paper that made open-source models outperform GPT-4o on a major benchmark

the method is called Mixture-of-Agents. it doesn't fine-tune anything. it doesn't train anything. it just asks multiple llms the same question, then feeds their answers to another llm that synthesizes the best response

65.1% vs GPT-4o's 57.5% on AlpacaEval 2.0. all open-source models. here's how it works and where it breaks down

Together AI released research showing their method called 'Mixtur...' enables open-source language models to surpass GPT-4o performance on a significant benchmark. This represents a notable achievement in making competitive AI capabilities available through open-source alternatives.