Refine AI training data with human-in-the-loop workflows

Improve the quality of your model outputs by generating high-quality preference data for RLHF, DPO, and model evaluation, using Encord’s suite of alignment, labeling, and collaboration tools.

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Woven by Toyota
mayo clinic
Ui Path
AXA
royal navy
standard ai

What Encord is bringing to our team now is mostly headspace. Taking away the pain of starting a new project from scratch. We just delegated that away and focused on the model.

dragos uipath

Dragos Bobolea

Director, Applied Sciences at UiPath

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Build human-verified data workflows for RLHF and model evaluation

Rubric based evaluation

Differentiate your model performance

Generate high-quality preference data by configuring data evaluation and alignment workflows. 

Consensus workflow node

Design and implement evaluation workflows

Incorporate RLHF, DPO and other post-training workflows into your training process with Encord's suite of evaluation tools.

Enterprise-grade.
Built for scale.
Designed for reliable AI.

API/SDK-first. Zero data migration. Your data stays in your cloud.

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Get the data right

300+ of the best AI teams in the world use Encord. Join them.