What are the emerging trends in AI frameworks for the future?
Some key trends include increased modularity, enhanced interoperability, and a focus on ethical AI practices.
Can you explain what modularity means in this context?
Modularity refers to designing AI frameworks in a way that allows components to be easily replaced or upgraded without affecting the entire system.
What about interoperability? Why is it important?
Interoperability ensures that different AI systems and frameworks can work together seamlessly, which is crucial for collaboration and innovation.
Are there any specific frameworks leading these trends?
Yes, frameworks like TensorFlow, PyTorch, and Hugging Face are at the forefront, continuously evolving to incorporate these trends.
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