What does interoperability in AI refer to?
- The ability of AI systems to work seamlessly with other systems and share data.
- The capacity of AI systems to operate independently without external support.
- The size of AI models.
- The speed at which AI algorithms can process data.
Interoperability in AI refers to the capability of AI systems to work together smoothly, share data, and communicate effectively with other systems, enabling them to collaborate and enhance their functionalities.
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