Implementing Generative AI in Production

Implementing generative AI in production involves building applications around generative AI systems to make use of the inputs and outputs. It requires creating scaffolding and using prompt engineering techniques to handle inputs and outputs. There are two options: hosting your own generative AI model or querying an API that accesses a generative AI solution. The trade-off between the two options involves control, quality, cost, and complexity. API-hosted models offer higher quality and less control, while self-hosted models provide more control but require managing hosting and infrastructure costs. The decision depends on the specific application's needs and limitations.