Solutions · LLM training data
Expert data for fine-tuning and aligning LLMs
Prompt–response pairs for supervised fine-tuning, ranked outputs for RLHF, and expert review — including low-resource languages and proprietary coding languages with no public training data.
The problem
Why this is hard to do well
No talent pool
Low-resource and proprietary languages have few people who can write or judge them.
Ranking, not labeling
Alignment needs prompts matched to outputs and candidates ranked by correctness, not single labels.
Plausible isn't correct
LLM output reads well even when it's wrong, so reviewers have to be real experts.
How MLtwist does it
Platform and people, together
Our platform does the repeatable work; our team, yours, or both handle the judgment calls. Every version ships with a Data ID Card.
- Supervised fine-tuning data
- Prompts written to match target outputs, in the style and format your model needs.
- Preference ranking for RLHF
- Candidate outputs ranked by correctness, with the reasoning recorded.
- Sourced and tested experts
- Coders, linguists, and domain specialists recruited and skill-tested before they touch data.
- Agreement scoring
- Multi-stage review and inter-annotator agreement on every pair.
Case studies
Programs we've delivered
AI technology company · AI & technology
AI Tech Company Uses MLtwist to Train LLM for Proprietary Coding Language
Stanford · Research
Research-grade language data with a Data ID Card
Defense technology company · Defense & security
Defense Company Uses MLtwist for Large-Scale NLP on News Articles
Talk to us about llm training data
Tell us the data type, volume, and timeline. We'll scope it with our team, yours, or both — and deliver it versioned, in your format.
Also available through Carahsoft and Google Cloud Marketplace.