Leveraging Model-Assisted Labeling to Better Harness AI Data and Reduce Data Labeling Costs

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Presented by Labelbox

Labelbox is an end-to-end training data platform that is used to create and manage high-quality training data. The platform provides fast labeling tools, collaboration features, and supports any data type (e.g., images, videos, text, etc.)

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ML practitioners can dramatically reduce the time and labeling budgets by harnessing model-assisted labeling for both strong and weak supervision. Labelbox ML lead will be sharing an interactive demo and tutorial on production workflows that we have worked well with the goal of highlighting important principles that spark inspiration for others.

Randall Lin

With experience in large scale NLP on TPUs using limited labeled data and quick iterative ML experimentation tooling with Airflow and Kubernetes, Randall is currently

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