What are the main challenges in AI architecture?
Some key challenges include scalability, data management, model complexity, and integration with existing systems.
Can you elaborate on scalability issues?
Scalability issues arise when AI systems need to handle increasing amounts of data or users, often requiring more resources.
What about data management challenges?
Data management challenges include ensuring data quality, privacy concerns, and the need for efficient data storage and retrieval.
How does model complexity affect AI architecture?
Model complexity can lead to longer training times, increased resource consumption, and difficulties in deployment and maintenance.
What are some solutions to these challenges?
Solutions include adopting modular architectures, using cloud resources, and implementing robust data governance practices.
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