Foundation Model

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.

‍