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The paper evaluates the performance and behavior of GPT-3.5 and GPT-4 on various tasks and finds that their performance can vary significantly over time, emphasizing the importance of continuous monitoring of large language models.
https://arxiv.org/abs//2307.09009
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
The paper evaluates the performance and behavior of GPT-3.5 and GPT-4 on various tasks and finds that their performance can vary significantly over time, emphasizing the importance of continuous monitoring of large language models.
https://arxiv.org/abs//2307.09009
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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