Insights
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RLHF, adversarial prompts and toxicity annotation for safe GenAI
Safe generative AI needs more than a filter. How we combine human-in-the-loop RLHF, adversarial prompt engineering and native-speaker toxicity annotation into one safety workflow.
by Cognegica Data Operations
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Multi-layer QA: catching script-adherence and metadata errors
Most data programs fail quietly in QA. How our multi-layer QA process — native-linguist review plus script-adherence and metadata verification — catches the errors that matter.
by Cognegica Quality & Standards
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Sovereign AI data and India residency: what it really requires
India-residency is more than where a file sits. Here's what sovereign AI data delivery actually requires — and why regulated buyers are asking for it.
by Cognegica Linguistics Team
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Rights-cleared data: why it matters more every quarter
Provenance and consent are moving from nice-to-have to procurement blockers. What rights-cleared training data actually means — and why buyers now demand it.
by Cognegica Data Operations