AI glossary · Building and running AI
Open-source AI
Open-source AI means models that are free to download, use and modify. Many are “open-weight”: the trained model is shared, but not the data it was trained on.
Also called open-weight model, open model, open-source LLM
In more detail
Fully open-source AI shares the model, code and details of the training data. Open-weight models, like Llama, DeepSeek and many others, share the trained parameters so you can run and fine-tune them, often under licences with conditions.
Open models let people run AI privately with local AI and inspect or customise it. The opposite is closed or proprietary AI, used only through the maker’s app or API.
Related terms
LlamaLlama is a family of large language models from Meta whose weights can be downloaded, so developers can run and adapt them on their own hardware.Local AILocal AI means running an AI model on your own phone or computer instead of on a company’s servers, so it can work offline and keep your data on your device.ParametersParameters are the internal numbers an AI model learns during training. A model’s size, such as “70 billion parameters”, counts them.Stable DiffusionStable Diffusion is an image-generation model from Stability AI whose weights are publicly available, so people can run and customise it on their own computers.DeepSeekDeepSeek is a Chinese AI company known for open-weight language and reasoning models, and for its own chatbot app.
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