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When a conversational AI startup faced limitations with off-the-shelf data, it turned to Hurix Digital. With a go-to-market clock running, Hurix Digital developed a high-precision dataset of 20,000 instruction-response pairs that was perfectly aligned with RLHF best practices.
The outcome? Faster QA cycles, improved model accuracy, and readiness for real-world deployment.
Download the case study to uncover:
- 27% boost in model accuracy for summarization and support tasks
- 20,000+ RLHF-compliant prompts across healthcare, fintech, and insurance
- 32% faster QA turnaround for rapid deployment cycles
Learn how high-quality data fuels high-performing AI.
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