Google Gemini

## How can developers use Google AI Studio and Vertex AI to deploy Gemini prompts to production?

## Overview Developers can use Google AI Studio and Vertex AI in a two-stage workflow to develop, test, and deploy Gemini prompts to production. ## Key Features Vertex AI offers significant advantages for production environments including a broader selection of models, Provisioned Throughput, and enterprise-grade security. ## Technical Specifications Once the prompt is in Vertex AI, the application code must be adapted from the Google AI SDK to the Vertex AI SDK. ## How It Works Phase one of the workflow takes place in Google AI Studio for rapid experimentation. Phase two involves moving to Vertex AI for production deployment. ## Use Cases For ongoing operations, Vertex AI provides a full suite of MLOps tools. ## Limitations and Requirements ## Comparison to Alternatives ## Summary In conclusion, the recommended workflow is to use Google AI Studio as a sandbox for prompt engineering and then manually transition the finalized assets to Vertex AI for production.