Creation of AI applications has become increasingly commoditized through a rich ecosystem of R and python packages. However, there are significant hurdles to take a prototype application into "production" and keep it operating. Traditional testing and validation approaches do not always apply directly and the flexibility from which users can interact with the application can be much larger than a traditional application. This talk will discuss how to successfully (and unsuccessfully) develop, test, release, and maintain Generative AI based applications in GxP contexts.
Devin Pastoor
A2-AI
GenAI in Production - moving beyond prototypes
Creation of AI applications has become increasingly commoditized through a rich ecosystem of R and python packages. However, there are significant hurdles to take a prototype application into "production" and keep it operating. Traditional testing and validation approaches do not always apply directly and the flexibility from which users can interact with the application can be much larger than a traditional application. This talk will discuss how to successfully (and unsuccessfully) develop, test, release, and maintain Generative AI based applications in GxP contexts.