AI Glossary
Open Source Model
An open source model is an AI model that is publicly available for inspection, modification, and deployment.
Open Source Model
Overview
Not all AI models are distributed in the same way.
Some are controlled entirely by the organizations that build them. Others are shared openly with the broader community.
An Open Source Model is an AI model whose architecture, code, model weights, or a combination of these elements is made publicly available.
This allows developers, researchers, businesses, and learners to inspect, modify, deploy, and improve the model themselves.
A helpful way to think about open source models is open access knowledge.
Rather than limiting access to a small group, the technology can be studied and used by a wider community.
Open source models have played a major role in accelerating AI innovation. They allow organizations to experiment with AI systems without depending entirely on commercial providers.
At the same time, open source approaches raise important discussions around security, governance, responsibility, and misuse.
As AI adoption grows, understanding the distinction between open source and Proprietary Models is becoming increasingly important.
Why It Matters
Open source models increase transparency, accessibility, and innovation across the AI ecosystem.
Real-World Example
A company may deploy an open source language model on its own infrastructure rather than relying on a third-party service.