NLPHow good is GPT-3 in practice?
We discuss the real world performance of Open AI's GPT-3 language model and speculate on what the future of large pre-trained language models may hold.
Raza Habib
Blog
The latest AI research, ideas and product updates.
BlogFour lessons from a year building tools for machine learning
The most surprising lessons about how to build tooling for machine learning, what is needed going forwards and why domain experts will play a much larger role in the future of AI.
Raza Habib
Case studyMeasuring Active Learning performance in the real world
Humanloop worked with Black Swan Data, a company at the forefront of applied NLP, to test the our active learning platform. Humanloop was able to save at least 40% of the labelling normally required whilst improving performance
Raza Habib
AnnouncementHumanloop + Hugging Face 🤗 = the fastest way to build custom NLP
You can now train any Huggingface model on your own data just by labelling 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
Raza Habib
machine learningWhy you should be using active learning to build ML
Data labelling is often the biggest bottleneck in machine learning. Active learning lets you train machine learning models with much less labelled data. The best AI-driven companies, like Tesla, use active learning.
Raza Habib
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