# Self Learning Loop

A self learning loop is a process that uses feedback and outcomes to improve future system behavior over time.

## Why it matters

“Self-learning” is often overstated. Production systems usually improve through a governed cycle of collecting feedback, reviewing labels, updating prompts or models, evaluating changes, and deploying a new version. Automatic online learning can amplify bad feedback.

## Example

A team reviews user corrections each month, adds high-quality cases to its evaluation set, retrains only after approval, and compares the candidate version with the current baseline.

## FAQ

### What is Self Learning Loop in simple terms?

A self learning loop is a process that uses feedback and outcomes to improve future system behavior over time.

### Why does Self Learning Loop matter for teams using AI?

“Self-learning” is often overstated. Production systems usually improve through a governed cycle of collecting feedback, reviewing labels, updating prompts or models, evaluating changes, and deploying a new version. Automatic online learning can amplify bad feedback.

### What is a practical example of Self Learning Loop?

A team reviews user corrections each month, adds high-quality cases to its evaluation set, retrains only after approval, and compares the candidate version with the current baseline.


Source: https://www.luffy.so/ai-glossary/self-learning-loop

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