DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

arXiv:2306.11698v5 Announce Type: replace
Abstract: Generative Pre-trained Transformer (GPT) models have exhibited exciting progress in their capabilities, capturing the interest of practitioners and the public alike. Yet, while the literature on the trustworthiness of GPT models remains limited, practitioners have proposed employing capable GPT models for sensitive applications such as healthcare and finance -- where mistakes can be costly. To this end, this work proposes a comprehensive trustworthiness evaluation for large language models with a focus on GPT-4 and GPT-3.5, …

arxiv assessment cs.ai cs.cl cs.cr gpt gpt models type