What are the best practices for AI documentation?
The best practices for AI documentation include clarity, consistency, and comprehensiveness. It's important to explain algorithms, data sources, and limitations clearly.
Can you elaborate on why clarity is important?
Clarity ensures that users understand how the AI works, which builds trust and helps in troubleshooting issues.
What should I include in the documentation?
Include sections on the purpose of the AI, its architecture, data handling, user instructions, and examples of use cases.
How often should I update the documentation?
Documentation should be updated regularly, especially after significant changes to the AI model or its functionalities.
Any tools you recommend for creating AI documentation?
Tools like Read the Docs, GitBook, and Confluence are great for creating and maintaining AI documentation.
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