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Fine-tuning data for frontier model training

Expert-written prompts, responses and reasoning traces, reviewed in multiple stages before delivery.

Client
AI training partner (under NDA)
Area
AI Training & Evaluation
Services
LLM Fine-Tuning Datasets, Quality Control & Hardening

Case study

The problem

A model-training team needed fine-tuning data that would teach real reasoning — not templated answers, and not data that quietly contradicts itself.

The path

  • Wrote prompts and expert responses with explicit, step-by-step reasoning, following detailed project guidelines.
  • Ran every item through multi-stage review: a second expert checks correctness, completeness and instruction-following.
  • Fed recurring review findings back into the guidelines so the same mistake didn't happen twice.

The result

Training data delivered with a review trail for every item. Specific volumes and quality metrics are available to prospective clients under NDA.

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