What are the best AI frameworks for handling large datasets?
Some of the best AI frameworks for large datasets include TensorFlow, PyTorch, and Apache Spark. Each has its strengths.
Can you explain why TensorFlow is preferred for large datasets?
TensorFlow is preferred for large datasets due to its scalability, efficient data handling, and strong community support.
What about PyTorch? How does it compare?
PyTorch is known for its dynamic computation graph, making it easier to debug and experiment, which is great for research.
Are there any specific use cases where Apache Spark excels?
Yes, Apache Spark excels in big data processing tasks, especially for real-time analytics and machine learning on large datasets.
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