The large language models like those behind ChatGPT often stumble over math problems because they work by providing statistically plausible text rather than rigorous logical reasoning.
The researchers behind AutoGen show that having AI agents collaborate can mitigate weaknesses of large language models and improve problem-solving abilities such as solving math problems and refining computer code.
Two to four agents working together could solve fifth-grade math problems more reliably than one agent on its own. Teams could reason out challenges like chess problems and analyze computer code by discussing.
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