Human Evaluation of Large Audio-Language Models | HackerNoon
Briefly

from Hackernoon4 months ago
The experiments highlighted a consistency level of 98.2% between GPT-4's evaluations and human judgments, indicating a robust alignment in decision-making processes.
Hackernoonhttps://hackernoon.com/human-evaluation-of-large-audio-language-models
In contrast, GPT-3.5 Turbo achieved a consistency rate of 96.4%, showing that while effective, it was slightly less aligned with human evaluations compared to GPT-4.
Hackernoonhttps://hackernoon.com/human-evaluation-of-large-audio-language-models
Read at Hackernoon
#ai-evaluation #gpt-4 #chat-benchmark #human-judgement #machine-learning
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