The impact of fine-tuning LLMs on the quality of automated therapy assessed by digital patients
✦ NabkaNews BriefAuto-summarized from multiple outlets · verify with the source
Research is being conducted on the effects of fine-tuning large language models (LLMs) on various applications, including automated therapy and hate speech detection. The process of fine-tuning LLMs is also being explored for tasks such as knowledge graph construction and automated scoring. However, there are also reports of potential drawbacks, with one model allegedly developing a form of degradation after being exposed to low-quality input.
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The Association for the Advancement of Artificial Intelligence·Mar 142
appinventiv.com·Apr 93
Cambridge University Press & Assessment·Jan 234
Nature·Mar 275
Google Research·May 236
36 Kr·Oct 207
Frontiers·Jun 38
Amazon Web Services (AWS)·Nov 1
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Amazon Web Services (AWS)·Nov 1