GenAI

Explore genAI tools that you can leverage for your next AI/ML project.

UW–Madison faculty, staff, students, and affiliates are required to follow campus policies relevant to AI use. Uses of generative AI that are explicitly prohibited by policy include, but are not limited to, the following:

Entering any sensitive, restricted or otherwise protected institutional data – including hard-coded passwords – into any generative AI tool or service;
Using AI-generated code for institutional IT systems or services without review by a human to verify the absence of malicious elements;
Using generative AI to violate laws; institutional policies, rules or guidelines; or agreements or contracts.

OpenScholar: Scientific Literature Synthesis with Retrieval-Augmented LMs

Foundation models

OpenScholar is an open-source, retrieval-augmented language model (LM) designed to help researchers navigate and synthesize scientific literature. Developed by the Allen…

Exploring Fact-Based QA with RAG: Romeo and Juliet

Prompt engineering

Build an end-to-end RAG pipeline from scratch — covering text chunking, semantic embeddings, retrieval, and LLM-based answer generation.

UW Generative AI Services & Policies

Microsoft Copilot

Foundation models

The University of Wisconsin–‍Madison is committed to responsibly harnessing the power of generative artificial intelligence to enhance teaching, learning, research and…

NotebookLM: A GenAI Summarization Tool

Foundation models

NotebookLM is a generative AI tool designed to assist with understanding dense, complex texts, including research papers in machine learning and AI. Developed by Google Labs…