What is Foundation Model?
A large AI model trained on broad data that can be adapted for many different tasks.
Why It Matters
Foundation models are the starting point for most modern AI applications, reducing the cost of building specialised tools.
Real-World Example
GPT-4 and Claude are foundation models that can be used for writing, coding, analysis, and much more.
“Understanding terms like Foundation Model 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
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.
Transfer Learning
Using knowledge gained from one task to improve performance on a different but related task.
Open-source AI
AI models whose code and sometimes weights are freely available for anyone to use, modify, and distribute.
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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.
Transfer Learning
Using knowledge gained from one task to improve performance on a different but related task.
Open-source AI
AI models whose code and sometimes weights are freely available for anyone to use, modify, and distribute.
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.