Foundation models are large, general-purpose AI models trained on massive amounts of data. They can be adapted to do many different tasks, like writing, coding, or analyzing images—with little extra training.
Key points:
- Pretrained: Trained once on huge datasets to understand patterns.
- Flexible: Can be reused for lots of tasks with small changes.
- Efficient: Saves time and resources compared to training new models from scratch.
- Powerful: Used in many modern AI tools and products.
Foundation models are the “starting point” for many AI applications, making it easier and faster to build smart, capable systems.
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