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Nikita Teslenko Grygoryev

 

Recent Posts

7 Criteria for Choosing Multilingual AI Training Data Services for Custom Models

Enterprise AI is no longer bought on annotation volume. It's bought on evaluation capability. The same pattern shows up in many enterprise AI projects: the training data is annotated, the volume looks sufficient, and the benchmark scores are good....

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Why Multilingual AI Data Quality Is Hard to Get Right

Multilingual AI data quality is the degree to which training, grounding, evaluation, and alignment datasets represent the linguistic, cultural, and operational characteristics of every language an AI system is expected to use. Multilingual...

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