In a study by Apple researchers, it was found that large language models, despite their capabilities, struggle with reasoning tasks as evidenced by a kiwi counting problem.
The phrase 'but five of them were a bit smaller than average' serves as a distraction, showing how LLMs can misinterpret irrelevant details in reasoning tasks.
These AI models are proficient at high-level text processing but exhibit significant limitations when tackling complex reasoning challenges, revealing their need for improvement.
The insights gained from this research stress the importance of refining AI models to ensure they can effectively differentiate between relevant and irrelevant information.
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