Overview
The client is a global leader in accelerated computing and artificial intelligence, known for pioneering graphics processing technology that transformed gaming, visualization, and high-performance computing.
Challenges
1.
LLM development timelines were at risk due to limited ability to rapidly scale the existing AI team
2.
No existing setup for onboarding, infrastructure, or workflow execution
3.
Lack of visibility into progress and quality of prompt validation tasks
Solution
AI data annotation and prompt operations
1.
Deployed 200 engineers in six weeks: fully onboarded and operational
2.
Set up end-to-end data operations: logistics, infra, training, and QA
3.
Delivered high-quality annotations across video, image, and text
4.
Implemented prompt-response validation workflows for LLM fine-tuning
5.
Enabled closed-loop feedback for retraining and performance optimization
Impact
1.
75% faster resource ramp-up than industry benchmark
2.
20% improved LLM accuracy via curated prompt-response validation
3.
40% reduced rework with integrated QA and audit workflows
4.
30% faster turnaround time through infra/process automation