Three lessons in accelerating foundation model upgrades

Upgrading AI models can be a slow and costly process, but Google Cloud's Applied ML team has developed an agentic workflow that completes model upgrades in hours instead of months. By starting with hands-on discovery, avoiding traditional automation's rigidity, and pivoting to a flexible agent architecture, teams can accelerate their foundation model upgrades. This approach can be applied using Google Cloud's Gemini Enterprise Agent Platform and Google Antigravity. By doing so, teams can improve their model upgrade process and keep up with the industry's rapid pace of innovation.