This chapter explores the limitations of large language models in solving math problems and discusses two approaches to addressing these limitations - accepting it as a flaw or leveraging the model's ability to translate language to code. The speaker shares how they started solving math problems by asking the model to write and execute code, leading to the concept of implicit code execution.

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