Large language models respond differently based on user's motivation

A new study reveals how large language models (LLMs) respond to different motivational states. In their evaluation of three LLM-based generative conversational agents (GAs)--ChatGPT, Google Bard, and Llama 2, scientists found that while GAs are able to identify users' motivation states and provide relevant information when individuals have established goals, they are less likely to provide guidance when the users are hesitant or ambivalent about changing their behavior.

  Health   Apr 5, 2024   0   41  Add to Reading List
Large language models respond differently based on user's motivation

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ARE YOU TIRED OF LOW SALES TODAY?

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Post your business here..... from NGN1,000

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A new study reveals how large language models (LLMs) respond to different motivational states. In their evaluation of three LLM-based generative conversational agents (GAs)--ChatGPT, Google Bard, and Llama 2, scientists found that while GAs are able to identify users' motivation states and provide relevant information when individuals have established goals, they are less likely to provide guidance when the users are hesitant or ambivalent about changing their behavior.
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