Operational considerations for generative AI platforms and solutions

In an enterprise, deploying generative AI solutions at scale requires robust infrastructure, tools, and operations. Organizations should contemplate establishing a dedicated generative AI platform to meet these evolving project demands.

Architecturally and operationally, a generative AI platform builds on top of an ML platform with additional new and enhanced technology infrastructure for large-scale model training, large model hosting, model evaluation, guardrails, and model monitoring. As such, the core operation and automation requirements for a generative AI platform are similar to those of a traditional MLOps practice. However, the unique aspects of generative AI projects such as model selection, model tuning, and integration with external data sources, require several new process workflows to be established, and as a result, new technology components need to be incorporated into the operation and automation...