The Q3 findings indicate significant advancements in LLM empathetic capabilities, particularly in ChatGPT 4.0 and Claude 3+, highlighting the impact of refined methodologies.
The AEQr developed through testing shows that systemizing tendencies can negatively affect empathetic abilities, confirmed by the average test scores and gender discussions.
Our collaboration with the University of Houston provided deeper insights into empathy measures, leading to the introduction of the Applied Empathy Measure (AEM) for more accurate analysis.
Despite cost constraints affecting Mistral tests, commentary on the comparison of speech generation between Hume and Speechify continues to reveal essential developments in LLMs.
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