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.
May 2020
Read full story