Building and updating machine learning models are resource intensive. This short talk will explain how new ML techniques such as few and zero-shot learning can help with building new models, faster, cheaper, and with only a handful of data samples. We’ll cover the following topics:
- What are few-shot and zero-shot machine learning approaches and how is it different from traditional ML models
- Sharing our test results on performance, speed, and cost-savings on text-based policies
- Providing an easy-to-use framework to operationalize
Lightning talks are 5-7 minute talks grouped with other 5-7 minute talks across a 50 minute session. There will be time for Q&A after all of the lightning talks in a session.