Natural Language Processing: From Prototype to Production

Outerbounds

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<ul><li>What NLP in production actually means;</li><li>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!);</li><li>What skills data scientists and ML engineers need to build end-to-end NLP systems;</li><li>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.</li></ul>And much more! The fireside chat will be followed by an AMA with Ines and Hugo at <a href="http://slack.outerbounds.co" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">http://slack.outerbounds.co</a>.

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Natural Language Processing: From Prototype to Production

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Natural Language Processing: From Prototype to Production

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