Learn how to build an end to end NLP pipeline with BERT in PyTorch. In this webinar we will show you how to move from research to production and implement an NLP pipeline quickly and efficiently using PyTorch and Intel® Tiber™ AI Studio to deploy a BERT Question and Answer Bot. We’ll share best practices for building your NLP pipeline, and how to create a seamless, reproducible workflow. You’ll follow an end to end example that will help you solve your next NLP problem, and strategies to maintain your model in production.
What you’ll learn:
- How to implement BERT in PyTorch
- How to build a reproducible NLP pipeline
- How to deploy your model to production
- How to manage your model in production
- How to apply BERT to your own use case
Learn how to build an end to end NLP pipeline with BERT in PyTorch. In this webinar we will show you how to move from research to production and implement an NLP pipeline quickly and efficiently using PyTorch and Intel® Tiber™ AI Studio to deploy a BERT Question and Answer Bot. We’ll share best practices for building your NLP pipeline, and how to create a seamless, reproducible workflow. You’ll follow an end to end example that will help you solve your next NLP problem, and strategies to maintain your model in production.
What you’ll learn:
- How to implement BERT in PyTorch
- How to build a reproducible NLP pipeline
- How to deploy your model to production
- How to manage your model in production
- How to apply BERT to your own use case