A foundation model is a broadly trained AI model that can be reused for many different tasks.
A foundation model is a broadly trained AI model that can be reused for many different tasks.
People can adapt the same base model with prompts, retrieval, fine-tuning, or tools instead of training a separate model from zero for every task.
Think of it like a broad school education. The person has a base of skills, then uses extra instructions or training for a particular job.
Broad pre-training creates a base model. Later application work adapts it for a task.
Input: A request to rewrite a note
System: A general language model follows the requested style
Output: A clearer message
Input: A text description
System: A foundation model maps language to visual patterns
Output: A generated image
Input: A policy question
System: A base model plus approved context handles the task
Output: A cited draft answer
Foundation Model: A reusable base model
Finished product: A product also includes interface, data, rules, and operations
Foundation Model: The broadly trained starting point
Fine-tuning: Additional training for narrower behavior
Foundation Model: Knowledge encoded as model parameters
Database: Explicit records stored for retrieval
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A foundation model is a broadly trained base that can be adapted for many tasks.