Measuring Active Learning performance in the real world

Raza Habib

Humanloop worked with Black Swan Data, a company at the forefront of applied NLP, to test our active learning platform. Humanloop was able to save at least 40% of the labeling normally required whilst improving performance.

Humanloop + Hugging Face 🤗 = the fastest way to build custom NLP

Raza Habib

You can now train any Hugging Face model on your own data just by labeling and curating a small portion of that data, with early access to our Humanloop - Hugging Face integration. Label your data and we'll give you an API to your model, trained on your own data

Why you should be using active learning to build ML

Raza Habib

Data labeling is often the biggest bottleneck in machine learning. Active learning lets you train machine learning models with much less labeled data. The best AI-driven companies, like Tesla, use active learning.

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