The main purpose of many large language models (LLMs) is providing compelling text that’s as close as possible to being indistinguishable from human writing. And therein lies a major reason why it’s so hard to gauge the relative performance of LLMs using traditional benchmarks: Quality of writing doesn’t necessarily correlate with metrics traditionally used to measure processor performance…
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