AI Models Struggle with Basic Math as Study Reveals Inability to Compare 9.90 and 9.11

Thursday, 18 July 2024, 01:00

Recent findings by Zhejiang University researcher Wu Yiquan highlight the limitations of large language models in solving simple math problems. The study indicates that AI models rely heavily on training data and struggle to grasp fundamental mathematical concepts like comparing numbers. These results shed light on the potential shortcomings of AI technologies in handling numerical tasks, raising questions about their broader applicability in real-world scenarios.

South China Morning Post — AI Models Struggle with Basic Math as Study Reveals Inability to Compare 9.90 and 9.11

AI Models' Math Dilemma:

Recent research conducted by Zhejiang University's Wu Yiquan has revealed a significant flaw in large language models - their inability to accurately compare numeric values.

Limitations in Mathematical Reasoning:

Training Data Dependency: AI models heavily rely on existing training data, affecting their proficiency in solving math problems.
Basic Math Struggles: The study unveils AI models' challenges in performing simple math tasks, exemplified by the difficulty in distinguishing between 9.90 and 9.11.

These findings underscore the necessity for further research and development to enhance AI models' mathematical capabilities and overcome their current limitations.

This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.

AI Models' Math Dilemma:

Limitations in Mathematical Reasoning:

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