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This paper investigates how different prompt templates impact the performance of Large Language Models, revealing significant variations in effectiveness, particularly in code translation tasks.
https://arxiv.org/abs//2411.10541
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
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
This paper investigates how different prompt templates impact the performance of Large Language Models, revealing significant variations in effectiveness, particularly in code translation tasks.
https://arxiv.org/abs//2411.10541
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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