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Comparing the Efficacy of GPT-4 and Chat-GPT in Mental Health Care: A Blind Assessment of Large Language Models for Psychological Support
May 16, 2024, 4:46 a.m. | Birger Moell
cs.CL updates on arXiv.org arxiv.org
Abstract: Background: Rapid advancements in natural language processing have led to the development of large language models with the potential to revolutionize mental health care. These models have shown promise in assisting clinicians and providing support to individuals experiencing various psychological challenges.
Objective: This study aims to compare the performance of two large language models, GPT-4 and Chat-GPT, in responding to a set of 18 psychological prompts, to assess their potential applicability in mental health care …
abstract arxiv assessment blind chat clinicians cs.ai cs.cl cs.hc development gpt gpt-4 health health care language language models language processing large language large language models mental health natural natural language natural language processing processing support type
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