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Efficiency in Scaling Language Models
Brute forcing to build multiple smaller language models can outperform larger ones. Increasing the number of agents correlates with better performance, especially for harder problems. Focus on adding more agents rather than increasing complexity per agent. Results are complementary to other prompting-based methods and can be combined for overall improvements.