Testing LLM performance on the Physics GRE: some observations

• URL: http://arxiv.org/abs/2312.04613v1
• Date: Thu, 7 Dec 2023 17:33:12 GMT
• Title: Testing LLM performance on the Physics GRE: some observations
• Authors: Pranav Gupta
• Abstract summary: In this paper, we summarize and analyze the performance of Bard, a popular LLM-based conversational service made available by Google, on the standardized Physics GRE examination.
• Score: 1.3597551064547502
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: With the recent developments in large language models (LLMs) and their widespread availability through open source models and/or low-cost APIs, several exciting products and applications are emerging, many of which are in the field of STEM educational technology for K-12 and university students. There is a need to evaluate these powerful language models on several benchmarks, in order to understand their risks and limitations. In this short paper, we summarize and analyze the performance of Bard, a popular LLM-based conversational service made available by Google, on the standardized Physics GRE examination.

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