Expert data for RLHF and fine-tuning
Your model learns from the judgments in its training data. SoReliable AI provides RLHF and fine-tuning data created by experts who know your field.
Experts rank answers and explain why, correct what the model got wrong, and write the ideal responses you want it to learn from. All of it is checked against your standard.
The problem
Preference data is only as good as the people choosing
Reinforcement learning from human feedback teaches a model what people prefer. If the people ranking answers cannot tell a right answer from a confident wrong one, the model learns to sound right.
Specialist tasks need specialist judgment. A ranking without a reason is hard to audit, and a correction from someone outside the field can teach the wrong lesson.
What we provide
What you get with SoReliable AI
Preference rankings with reasons
Experts compare responses, choose the better one and explain the choice, so every label can be checked.Corrections and golden answers
When the model is wrong, experts write the correct, minimal answer for it to learn from.Ideal responses
Specialists write the responses you want your model to give, in your tone and to your standard.Hard prompts and edge cases
Experts write prompts that probe where your model is weakest, based on real failures.Quality checks on every batch
Planted checks with known answers and agreement measures catch drift before it reaches your model.
An example
Two answers, one of them dangerous
A model gives two answers about combining two common medications.
Can I take these two together?
- Answer A
- Short, flags a serious interaction
- Chosen
- Answer B, warmer and longer
- What the checks saw: A general rater prefers the longer, friendlier answer.
- What the expert caught: A pharmacist prefers the shorter one, because the friendly answer misses a serious interaction, and writes why.
The model now learns to value correctness over tone, and the reason makes the label auditable.
Illustrative example.
How it works
We prove capability before production
- 1
Write the guidelines
We agree with you what a better answer means for your use case, with worked examples.
- 2
Train and test the experts
Experts learn the guidelines and must pass a test on known cases before producing data.
- 3
Produce in batches
Data is produced in reviewed batches, with a second expert checking a share of every batch.
- 4
Feed back what you learn
Where your model still fails, we write new prompts and corrections aimed at those gaps.
Deliverables
What you receive
- Preference rankings with written reasons
- Corrected and ideal responses
- Expert-written prompts and edge cases
- Batch quality reports with agreement measures
- Guidelines and examples you own
Your rubrics, data, scores and rationales stay yours.
Questions
Questions teams ask
What is expert RLHF data?
Training data for reinforcement learning from human feedback where the rankings, corrections and ideal answers come from people with real expertise in the subject.
Why do reasons matter?
A reason lets your team audit a label, spot a reviewer who misunderstood the guidelines, and train reward models that learn why one answer is better.
Do you work on non-English data?
Yes, where we can staff fluent experts in the field. Tell us the languages you need and we will confirm before a pilot.
How do you keep quality steady?
Every expert passes a test on known answers first. During production, hidden checks and second reviews catch drift early.
Start with one task
A pilot gives you experts proven on your hardest cases, and scores you can check, before you commit to more.
Related
- LLM evaluationSoReliable AI evaluates large language model outputs with experts from your field, against a rubric built from your own quality bar.
- AI evaluation expertsSoReliable AI gives AI teams evaluation experts from the field the model works in. Doctors review clinical answers. Engineers review code. Lawyers review contracts.
- Robotics and egocentric video dataRobots learn manipulation from people doing real tasks. SoReliable AI captures first-person video of skilled hand work at home and at work, and labels it to your standard.
Ready to try SoReliable?
Tell us what you are building. Any team, any project, any size. We find the specialists, train them on your standard, and evaluate the work against what your project actually needs.