Pretraining data versus verifiability in LLM math and coding skills
A post shares a LessWrong blog arguing that pretraining data explains why large language models are especially good at math and coding.
TLDR
The shared LessWrong blog argues that LLMs are especially good at math and coding because of their pretraining data—not verifiability.
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