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Amazon Science
KeyRank 75When unsupervised training pays off in natural-language processing
Critical insight for AI teams building language models: unsupervised tokenizers outperform at smaller vocabulary sizes, potentially reducing training costs and complexity for specific use cases.
Why it ranks · · Unsupervised tokenizers perform better at smaller vocabulary sizes · May 2020
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