What is Open-source AI?
AI models whose code and sometimes weights are freely available for anyone to use, modify, and distribute.
Why It Matters
Open-source AI gives organisations more control, avoids vendor lock-in, and allows customisation for specific needs.
Real-World Example
Meta's Llama models are open-source and can be downloaded and run on your own servers.
“Understanding terms like Open-source AI matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Foundation Model
A large AI model trained on broad data that can be adapted for many different tasks.
Proprietary AI
AI models owned and controlled by a company, typically accessed through paid APIs or subscriptions.
Fine-tuning
Adapting a pre-trained AI model to perform better on a specific task by training it on additional specialised data.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
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Related Terms
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Fine-tuning
Adapting a pre-trained AI model to perform better on a specific task by training it on additional specialised data.
Foundation Model
A large AI model trained on broad data that can be adapted for many different tasks.
Proprietary AI
AI models owned and controlled by a company, typically accessed through paid APIs or subscriptions.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...
Attention Mechanism
A technique that lets AI models focus on the most relevant parts of the input when generating output.