What NLP in production actually looks like, including patterns, trends, challenges, use cases, and more.
Ines Montani is a software developer working on AI and NLP technologies. She is the co-founder and CEO of Explosion, where they make spaCy, one of the leading open-source libraries for Natural Language Processing in Python, and Prodigy, a modern annotation tool for creating training data for machine learning models.
In this fireside chat, Ines joins Hugo Bowne-Anderson, Outerbounds’ Head of Developer Relations, to discuss what NLP in production actually looks like, including patterns, trends, challenges, use cases, and more.
After attending, you’ll know about:
- What NLP in production actually means;
- Trends and patterns in NLP use cases across industries (spaCy is used across finance, legal, medical, traditional manufacturing, e-commerce, customer service, media, energy, logistics, transport, and print media!);
- What skills data scientists and ML engineers need to build end-to-end NLP systems;
- What all the hype around large language models is, such as GPT-3, and how they can deliver real value in the world of NLP.