Latest Posts

Efficiently Labeling Data for NLP

Three tips and tricks to get more labeled data with less work

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Bug Postmortem: Wrong image deployed on Docker Swarm

Postmortem analysis of a production bug where a customer as shown the wrong version of our frontend

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Active Learning: Optimization != Improvement

Active Learning promises to reduce the labeling cost for building a model. We look into how that works out and ask if active learning delivers on what we really need

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Embrace the noise: A case study of text annotation for medical imaging

How a company used NLP to annotate chest X-rays and what we can learn

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