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Matthew Honnibal

Founder

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Matthew Honnibal the co-founder of Explosion and a leading expert in AI technology, known for his research, software and writings. He completed his PhD in 2009, and spent a further 5 years publishing research on state-of-the-art natural language understanding systems. Anticipating the AI boom, he left academia in 2014 to develop spaCy, a popular open-source library for industrial-strength Natural Language Processing.

In this presentation, I will build on Ines Montani's keynote, "Applied NLP in the Age of Generative AI," by demonstrating how to create an information extraction pipeline. This pipeline will include a text classifier to filter relevant articles, an entity recognizer to identify names and numeric data, and a relation extraction system developed with the help of a large language model (LLM) powered human-in-the-loop annotation process. The talk will focus on using the spaCy NLP library and the Prodigy annotation tool, although the principles discussed will also apply to other frameworks.

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Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More
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