The document discloses that Command R models are optimized for 10 languages and support 13 additional languages at lower performance levels, and states that outputs in languages outside these 23 may be unreliable.
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This disclosure establishes performance boundaries that are relevant for enterprise deployments serving multilingual populations, and creates due diligence obligations for customers deploying the models in contexts where output reliability in non-supported languages could affect user safety or regulatory compliance.
The document discloses that Command R model outputs in languages outside the 23 supported languages are described as unlikely to be reliable. For the 13 lower-resource languages within the 23, the document notes they are less rigorously evaluated than the 10 primary languages.
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Compare across platforms →"This model is designed to excel at English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Chinese, and Arabic, and to generate in 13 other languages well. It will sometimes respond in other languages, but the generations are unlikely to be reliable.Excerpt from Cohere's Responsible Use Policy
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This disclosure establishes performance boundaries that are relevant for enterprise deployments serving multilingual populations, and creates due diligence obligations for customers deploying the models in contexts where output reliability in non-supported languages could affect user safety or regulatory compliance.
The document discloses that Command R model outputs in languages outside the 23 supported languages are described as unlikely to be reliable. For the 13 lower-resource languages within the 23, the document notes they are less rigorously evaluated than the 10 primary languages.
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