Google Gemini

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.