What is AI modules architecture?
AI modules architecture refers to the structured design of AI systems, where different components or modules work together to perform tasks.
Can you explain the different types of modules in AI architecture?
Sure! Common modules include data processing, model training, inference, and user interface modules, each serving a specific function.
How do these modules communicate with each other?
Modules typically communicate through APIs or message queues, allowing them to exchange data and trigger actions seamlessly.
What are the benefits of using a modular architecture in AI?
Modular architecture enhances scalability, maintainability, and flexibility, making it easier to update or replace individual components.
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