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Zero-Shot Tokenizer Transfer
Manage episode 418935308 series 3524393
This paper introduces Zero-Shot Tokenizer Transfer (ZeTT) to enable swapping tokenizers in language models, improving efficiency across languages and coding tasks without performance degradation.
https://arxiv.org/abs//2405.07883
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
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1406 episodes
Manage episode 418935308 series 3524393
This paper introduces Zero-Shot Tokenizer Transfer (ZeTT) to enable swapping tokenizers in language models, improving efficiency across languages and coding tasks without performance degradation.
https://arxiv.org/abs//2405.07883
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
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1406 episodes
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