AI Foundations
Training
The process of adjusting a model using examples so it learns useful patterns.
Example
A spam filter studies labeled messages and adjusts itself before anyone uses it.
Why it matters
It builds abilities that can be reused across many later requests.
You'll hear it
“The team needs better teaching examples before another training run.”
Can you control it?
Set by the team
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Can training preserve mistakes from earlier examples?
- Yes. Errors or misleading patterns in the teaching material can influence later answers.
- What data is used to train an AI?
- It may include writing, pictures, recordings or measurements gathered under different permissions and arrangements.
- Can a company train an AI on its own data?
- Sometimes. A company can adapt an existing AI or build one using suitable examples it is allowed to use.