Welcome to the Google Cloud Generative AI - Gemini folder.
Gemini is a family of generative AI models developed by Google DeepMind that is designed for multimodal use cases. The Gemini API gives you access to the Gemini Pro Vision and Gemini Pro models.
On Google Cloud, the Vertex AI Gemini API provides a unified interface for interacting with Gemini models. There are currently two models available in the Gemini API:
- Gemini Pro model (
gemini-pro): Designed to handle natural language tasks, multi-turn text and code chat, and code generation. - Gemini Pro Vision model (
gemini-pro-vision): Supports multimodal prompts. You can include text, images, and video in your prompt requests and get text or code responses.
The notebooks and samples in this folder focus on using the Vertex AI SDK for Python to call the Vertex AI Gemini API.
| Description | Contents | |
|---|---|---|
getting-started/
|
Get started with the Vertex AI Gemini API:
|
Starter notebooks |
sample-apps/
|
Discover sample apps powered by Gemini | Sample apps |
use-cases/
|
Explore industry use-cases enabled by Gemini (e.g. retail, education) | Sample use cases |
evaluation/
|
Learn how to evaluate Gemini with Vertex AI Model Evaluation for GenAI | Sample notebooks |
function-calling/
|
Learn how to use the function calling feature of Gemini | Sample notebooks |
grounding/
|
Learn how to use the grounding feature of Gemini | Sample notebooks |
responsible-ai/
|
Learn how to use safety ratings and thresholds with the Vertex AI Gemini API. | Sample notebooks |
setup-env/
|
Instructions on how to set up Google Cloud, the Vertex AI Python SDK, and notebook environments on Google Colab and Vertex AI Workbench. | Setup instructions |
RESOURCES.md
|
Learning resources (e.g. blogs, Youtube playlists) about Generative AI on Google Cloud | Resources (e.g. videos, blogposts, learning paths) |