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Evaluate and refine AI models with LILT multilingual Human Eval
Revolutionize multilingual AI capability with LILT’s Human Eval solution. Our AI-enabled platform provides reinforced learning capabilities from native-speaking domain experts, so you can build superior AI models that overcome the challenges of non-localized models, such as: understanding idioms, humor, among other cultural nuances.
Access a diverse pool of native-speaking domain experts across a wide range of languages and industries. This enables you to leverage LILT's global network to source high-quality data from diverse regions and cultures.
By expanding your training data beyond English-centric sources, you can significantly improve model performance across multiple languages and gain valuable insights into the cultural nuances and linguistic subtleties of different languages.
Leverage highly qualified linguists and domain experts with expertise in specific industries and subject areas. This curated network of experts ensures your data is accurately labeled and reflects the nuances of the target language and culture. By leveraging diverse perspectives and backgrounds, LILT helps minimize bias and improve model fairness.
The increasing prevalence of generative AI means that it is increasingly difficult to detect AI-generated text in data supply chains that can undermine the effectiveness of In-Context Learning. LILT Human Eval is the only solution with real-time annotator monitoring and fraud detection to ensure diversity from third-party machine translation.
Additional Features
Enterprise-grade quality
Using our proven enterprise-grade localization workflows, we guarantee high-quality data, labeled by skilled linguists.
An API-first workflow
Lilt offers a robust API infrastructure for streamlined data transfer and exchange at all workflow phases.
Custom annotation guidelines
We can with work with any specific style, terminology, and other textual requirements.
Straightforward SLAs
Clearly defined SLAs for volume and turnaround time.
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TRUSTED BY THE MOST INNOVATIVE
"We wanted a more automated, more streamlined solution where the [contextual AI] engine learns and improves right as we use it. This is what the LILT solution offered us."