Hindi LLM Response Evaluation at Production Scale
Gold-standard factuality, groundedness, and safety evaluation of Hindi LLM outputs for a frontier AI lab - 96% accuracy, 5-minute AHT, and a 5x cohort scale-up within 30 days.
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Gold-standard factuality, groundedness, and safety evaluation of Hindi LLM outputs for a frontier AI lab - 96% accuracy, 5-minute AHT, and a 5x cohort scale-up within 30 days.
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A sustained trajectory collection pipeline delivering 500+ verified web-agent tasks a day for a frontier AI research lab, with low rework and full replay fidelity.
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High-throughput human preference labelling for generative video model alignment: 4-dimensional flaw taxonomy, multi-team consensus QA, and 1,500 annotated items delivered every 48 hours.
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Annotated 4,500 assembly videos with 21-joint hand skeleton tracking at 95% accuracy, enabling robot hand training for fine motor tasks.
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Evaluated AI-generated code across 25 programming languages using structured RLHF workflows, delivering high-quality training data for LLM fine-tuning.
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Combined AI code generation with expert human refinement to convert text prompts into production-ready React/Next.js applications at 1-2 apps per day.
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Classified 100,000 driving clips in 4 weeks with 95% accuracy, building behavioral training data for a leading autonomous driving company.
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