Name		Name	Last commit message	Last commit date
parent directory ..
evaluation		evaluation
function-calling		function-calling
getting-started		getting-started
grounding		grounding
prompts		prompts
qa-ops		qa-ops
reasoning-engine		reasoning-engine
responsible-ai		responsible-ai
sample-apps		sample-apps
tuning		tuning
use-cases		use-cases
README.md		README.md

README.md

Generative AI - Gemini

Welcome to the Google Cloud Generative AI - Gemini folder.

Gemini

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.

Vertex AI Gemini API

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.

Using this repository

	Description	Contents
`getting-started/`	Get started with the Vertex AI Gemini API: `gemini-pro` model `gemini-pro-vision` model	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
`reasoning-engine/`	Discover how to utilize the reasoning engine capabilities in Gemini	Sample notebooks
`prompts/`	Learn how to create and use effective prompts with Gemini.	Sample notebooks
`qa-ops/`	Learn about the question-answer operations available in Gemini	Sample notebooks
`tuning/`	Learn how to tune and customize the Gemini models for specific use-cases.	Sample notebooks