We know there are amazing advances available with OpenAI. In this session we'll talk about best practices in experimenting, applying, and advancing Open AI in a business. How do you get started, what are missteps, and where should a company go first? How do you implement a scalable AI architecture and where does ML Ops play a part?
- OpenAI implementation patterns
- ML Ops (chicken or the egg)
- Common use cases for getting started
- How to measure the project
- Types of application integration