Data Labeling

Training data and labeling · by LLM Stats

Calibrated annotation pipelines for enterprise AI applications and coding data, including SFT, DPO, preference pairs, and evals.

What it does

Calibrated annotation pipelines for enterprise AI applications and coding data, including SFT, DPO, preference pairs, and evals. Rubric-first, domain-vetted raters, adjudication instead of averaging, delivered training-ready via S3 or webhook.

  • Comparing and ranking AI models by benchmarks, speed, and pricing
  • Pre-release and bespoke benchmark evaluation for frontier models
  • Calibrated data labeling for SFT, DPO, preference pairs, and evals
Category
Training data and labeling
Users
AI researchers, ML engineers and teams, enterprise AI applications developers
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Pricing

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Security and compliance

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