Still below 3.5 and like most top entries no clear training objectives, which usually means they were fine-tuned on the benchmark itself.
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ARC is easily the most important benchmark right now for widespread adoption of LLMs by laypeople: it's literal grade school multiple choice, created to the bar of an 8th grader.
When you sit people down in front of an LLM and have them interact with it: ARC has by far the closest correlation of how "generally smart" the model will feel.
TigerResearch/tigerbot-70b-chat: ARC (76.79)
Still below 3.5 and like most top entries no clear training objectives, which usually means they were fine-tuned on the benchmark itself.
-
ARC is easily the most important benchmark right now for widespread adoption of LLMs by laypeople: it's literal grade school multiple choice, created to the bar of an 8th grader.
When you sit people down in front of an LLM and have them interact with it: ARC has by far the closest correlation of how "generally smart" the model will feel.