Скачать или смотреть Data Labeling: Common Pitfalls and How To Fix Them

In this demonstration, we will cover how Datasaur makes NLP labeling an incredibly efficient exercise. The first part of our demo will cover the labeling and review capabilities for a number of distinct workflows: NER, textual classification, audio, and document labeling. Finally, this talk will demonstrate Datasaur's workforce management tools--dashboards and reporting that enable our users to be successful managers of their NLP projects.

This talk was originally delivered at Arize:Observe 2023, a conference on the intersection of large language models, generative AI, and machine learning observability in the era of LLMops.

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