Cohere’s Path to Differentiation in LLM Race
Tech Disruptors
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Exploring the Significance of Tokenization Strategies in Multilingual Model Training
The chapter explores the significance of tokenization in improving model performance, particularly with multilingual data. It highlights the development of tokenizers that support various languages, including non-romance scripts like Japanese, Korean, and Chinese, leading to improved performance on these languages.
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