Tokenization Challenges in NLP: Introducing EvaByte, a State-of-the-Art Tokenizer-Free Language Model

Summary:

– Tokenization in natural language processing (NLP) is crucial but faces challenges.
– Tokenizer-based language models have difficulties with multilingual text, OOV words, and various input types.
– EvaByte is introduced as an open-source 6.5B state-of-the-art tokenizer-free language model powered by EVA.

Author’s Take:

Tokenization plays a vital role in NLP, but with challenges like multilingual text and OOV words, advancements like EvaByte could lead to more robust and efficient language models, reshaping how we process and understand text data.

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