Cohere For AI, the research arm of enterprise AI platform Cohere, announced its family of multilingual models, Aya Expanse, this week.
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The “highly performant” model family performs across 23 languages, and was released as both an 8 billion parameters model and a 32 billion parameters model on Kaggle and Hugging Face. Parameters are the variables a model learns from training data that guide its ability to make predictions.
The smaller model “makes breakthroughs more accessible to researchers worldwide,” while Cohere’s larger model “offers state-of-the-art multilingual capabilities,” the company said. The multilingual models outperformed open-weight models from Google (GOOGL) , Mistral, and Meta (META) , according to Cohere.
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