Apple study exposes major issues in ‘reasoning’ capabilities of LLMs

A recent study conducted by six Apple engineers reveals that the mathematical reasoning capabilities of advanced large language models (LLMs) are surprisingly fragile. Even minor modifications to standard benchmark problems can significantly undermine their ability to produce accurate results.
Kyle Orland for Ars Technica:
The fragility highlighted in th…
Keep reading with a 7-day free trial
Subscribe to MacDailyNews to keep reading this post and get 7 days of free access to the full post archives.