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Our annual report on the training data landscape: what's changed, what's emerging, and where the industry is headed. Based on data from 200+ enterprise AI teams.
The most frequent pitfalls we see teams make when collecting preference data, and practical solutions for each.
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A deep dive into the annotation pipeline, quality controls, and tooling that enabled production-grade 3D labeling.
Announcing our new evaluation product — design custom benchmarks with expert human judges for any AI capability.
How we ensure fair compensation, career growth, and dignified working conditions for our global annotator community.
The technical challenges and architectural decisions behind scaling our annotation platform to handle enterprise volume.
New research showing how modeling annotator disagreement improves model calibration and uncertainty estimation.
Everything you need to know about building AI training data pipelines that meet healthcare compliance requirements.
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