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LILT

Model Evaluation

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Model Evaluation helps build better AI models with multilingual data, focusing on improving AI performance.

LLM Evaluation PlatformsModel Training PlatformsData Analysis Agents

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Features

Run multilingual model evaluation and diagnostics consistently across regions and time
Detect drift, bias, and rubric reinterpretation in-pipeline
Identify language- and culture-specific failure modes
Use disagreement and ambiguity as a diagnostic signal
Integrate into existing model pipelines as the evaluation/readiness layer
Co-design evaluation frameworks with model teams
Continuously calibrate and score readiness
Prevent rater drift, variance, or instability over time

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