Video description
Sponsored by Snorkel
Natural language processing is one of the most widely used branches of machine learning, with applications ranging from the widespread and high impact to the cutting edge. Join practitioners from various industries as they highlight the challenges and possibilities of working with NLP.
About the AI Superstream Series: This recording of a three-part series of half-day online events is packed with insights from some of the brightest minds in AI. You’ll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive and learn to leverage AI to drive real business results.
What you’ll learn and how you can apply it
- Understand the most common obstacles for getting NLP models in production and learn how to overcome them
- Learn how to accelerate transformers for accuracy and speed in your NLP models
- Discover NLP best practices from organizations like Hugging Face, Facebook, John Snow Labs, and Primer
This recording of a live event is for you because…
- You’re a data practitioner who wants to move machine learning models into production and overcome common problems.
- You're a machine learning engineer who wants to optimize your NLP model.
- You want to understand how top organizations are accelerating business value with practical ML solutions.
Recommended follow-up:
Table of Contents
Antje Barth: Keynote—The Top 5 Trends in NLP in 2022
Thom Ives: Keynote—A Math Machine That Skipped School and Learns on the Job
Hamid Shojanazeri: How to Deploy Low Latency NLP Models with PyTorch
Surbhi Rathore: How to Build a Startup with Conversation Intelligence
David Talby: Automated Medical Question Answering in Practice
Braden Hancock: Best Practices for Automated Data Labeling in NLP (Sponsored by Snorkel AI)
Lewis Tunstall: Accelerating Transformers with Hugging Face Optimum