UW-Madison Google Workspace - Gemini
Google Gemini is a large language model that is designed to engage in informative and comprehensive interactions and answer a wide range of questions and prompts. With access to a massive and varied dataset, Gemini can provide detailed explanations, generate creative text, and even assist with tasks like writing emails or code. Gemini’s ability to understand and respond to natural language makes it a versatile tool.
Data-protection: Your data is not human reviewed or used for Generative AI model training when using your UW-Madison Google Workspace for Education account. Learn more.
Approved data types: Public and internal only.
Please note: The content on this page is subject to change due to frequent changes to service offerings and newly released features by Google.
Eligibility
Current UW-Madison faculty, staff, and students.
Log in to Gemini Chat
Your UW-Madison Google Workspace account has access to the Google Gemini chat app. Access to Gemini Education add-ons are not available at this time.
Log in to https://gemini.google.com/app using your UW-Madison Google Workspace account. If you are prompted to enter an email address upon login, please enter your netid@wisc.edu address. This will redirect you to the NetID login page.
Use cases
Gemini chat can be used to:
- Provide personalized explanations, examples, and practice problems, ensuring that each student receives the support they need.
- Help students with research by providing summaries of articles, identify relevant sources, and even generate citations.
- Assist with language learning by providing translations, explanations of grammar rules, and opportunities for practice.
- and more.
Google Gemini AI features and services
Google's Gemini LLM is used in many different Google applications for various uses. As Google releases new features, Gemini will be incorporated throughout the Google Workspace suite (ex: Drive, Docs, Slides). The main version explained in this document is the Google Gemini web app, which has a few different services and language models.
Currently, UW-Madison Google Workspace accounts have access to two Gemini language models:
- Gemini 2.5 Flash
- 2.5 Flash is the most basic model of Google Gemini. It is able to produce answers very quickly to simple questions. It is not as in-depth or as accurate as the other models might be, but it is able to produce text and image response to a large variety of questions.
- Gemini 2.5 Pro
- 2.5 Pro is a step up from 2.5 Flash, as it can do more complex tasks and in-depth reasoning. 2.5 Pro is better for tasks that require enhanced reasoning, such as coding or mathematics. It also has the ability to "think" through its answers to ensure they are correct. Reminder: There is still no guarantee that Gemini generates a correct answer. Fact check anything you receive from Gemini.
Additional features include:
- Deep Research with 2.5 Pro
- Deep Research is a specifically tasked version of Gemini based on 2.5 Pro that is intended to help outline research processes and complete research if asked to. It will explain its researching process and where it gathers its information from so it can be fact-checked. Especially helpful for in-depth and time-consuming research. Reminder: Make sure to check the sources Deep Research uses, as it is not guaranteed to use reputable sources.
- Canvas
- Canvas is an interactive space within Gemini designed to make creating, refining and sharing your work easy. Simply select "Canvas" in your prompt bar and you can write and edit documents or code, with changes appearing in real-time.
Important Note: These models can be dynamically rate-limited, restricting access to certain models for a period of time. Please review the left column and the notes on this page if you would like to learn more.
New feature highlights:
Google is continuously updating Gemini with new capabilities to make it even more helpful. Below are some highlights of newly released features:
July 2025
Keep in mind:
- Your data is private: Your UW-Madison Google Workspace account data will not be used to improve Gemini's models, and humans won't review it.
- Core app and covered: The Gemini chat tool a core app and covered by the Google Workspace for Education terms of service.
- Check facts: Gemini might not always be 100% accurate, so always double-check any important information it provides.
- No sensitive data: Never put sensitive or restricted information into Gemini chat. It is approved for public and internal data only.
- Your responsibility: You are responsible for following UW-Madison AI policies when using Gemini and other AI tools.