New data highlights the race to build more empathetic language models

[ad_1]

Measuring AI progress has usually meant testing scientific knowledge or logical reasoning – but while the major benchmarks still focus on left-brain logic skills, there’s been a quiet push within AI companies to make models more emotionally intelligent. As foundation models compete on soft measures like user preference and “feeling the AGI,” having a good command of human emotions may be more important than hard analytic skills.

[ad_2]

Source link