Why is AI documentation important?

Why is AI documentation important?

AI documentation is crucial for understanding, maintaining, and improving AI systems. It helps ensure transparency and reproducibility.

What should be included in AI documentation?

AI documentation should include model architecture, data sources, training processes, evaluation metrics, and usage guidelines.

How does documentation affect AI development?

Good documentation streamlines collaboration, reduces errors, and accelerates onboarding for new team members.

Can poor documentation lead to issues?

Yes, poor documentation can lead to misunderstandings, increased maintenance costs, and difficulties in troubleshooting.

What are best practices for AI documentation?

Best practices include keeping documentation up-to-date, using clear language, and providing examples and visual aids.