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Preference data for RLHF: collecting human feedback that sticks

Fine-tuning teaches a model to do something. RLHF teaches it to do it the way humans actually prefer. That difference changes everything about how you design and collect training data.

AI & ML·7 min read

April 13, 2026

Active learning: how to let your model choose what to label next

Labeling everything is expensive. Active learning lets your model identify which unlabeled examples would be most useful to annotate — often cutting labeled data requirements by 30–60% without sacrificing performance.

AI & ML·7 min read

April 11, 2026

How much data do you actually need to fine-tune a model?

The honest answer is "it depends" — but it depends on specific, measurable variables. A practical breakdown of what drives fine-tuning data requirements and how to estimate them before you start collecting.

AI & ML·6 min read

April 6, 2026

How to budget a dataset collection program

A practical framework for estimating the real cost of a dataset program before you commit — covering contributor payouts, reviewer overhead, rejection rates, and what most teams undercount.

Dataset Ops·4 min read

April 2, 2026

Synthetic data vs. human-collected data: when each approach wins

A practical guide to choosing between generated and real-world data for AI training — covering where synthetic falls short, where human collection still wins, and how to structure a hybrid pipeline.

Dataset Ops·5 min read

April 2, 2026

Operational playbooks for multimodal dataset launches

A practical way to scope collection contracts, review load, and export shape before a multimodal dataset program starts moving.

Dataset Ops·2 min read

March 22, 2026

How we review contributor quality signals without slowing delivery

The review model we use to separate risky submissions from routine ones, keep queues moving, and give contributors feedback they can act on.

Engineering·2 min read

March 18, 2026

Launching Caudals: a clearer control plane for dataset operations

Why we built Caudals to coordinate briefs, contributors, review queues, payouts, and exports in one accountable operating layer.

Company·2 min read

March 5, 2026