A generative AI platform centralizes reusable technical components so product teams do not rebuild model access, hosting, evaluation and telemetry independently. Shared primitives can enforce common interfaces and make quality, latency and cost visible across applications.
A useful platform serves several kinds of contributors. APIs support engineers, user interfaces support domain reviewers and workflow tools let product and operations teams provide annotations and quality decisions without waiting for a central platform group.
ELI5
A generative AI platform provides shared models, infrastructure, evaluation and governance tools for teams building AI products. It prevents every product group from rebuilding the same gateways, hosting, tracking and safety controls.
For example, engineers can use a common model API while domain experts review outputs through a simpler interface. The platform can then measure quality, latency and cost consistently across several applications.
What does a generative AI platform include?
It can include model gateways, hosting, evaluation datasets, annotation tools, telemetry, access control and reusable application interfaces.
Why build a shared generative AI platform?
Shared infrastructure reduces duplication and gives teams consistent controls for quality, latency, cost, security and evaluation.
