Foundation Model
Category: AI Fundamentals
📖 Definition
A foundation model is a large AI model trained on broad data that can be adapted to many different tasks. It's the base that gets fine-tuned for specific applications.
🔑 Key Points
- Large model trained on diverse data
- Can be fine-tuned for many different applications
- Examples: GPT-4, Claude, Stable Diffusion
- Expensive to train but versatile to deploy
💡 Why It Matters
Foundation models power most modern AI applications. Understanding them helps you see how AI capabilities are created and customized.