1. What are Machine Learning libraries?
Machine Learning libraries are software tools that provide ready-made algorithms and functions to build, train, and evaluate AI models more easily.
2. Why are Machine Learning libraries important?
They simplify complex mathematical tasks, reduce development time, and help developers build powerful AI systems without having to build everything from scratch.
3. What is PyTorch mainly used for?
PyTorch is commonly used for deep learning research, neural network development, and building modern AI models, including generative AI and language models.
4. How is TensorFlow different from PyTorch?
TensorFlow is often used for large-scale production applications, while PyTorch is known for its flexibility and support for experimentation in AI research.
5. Why is JAX becoming popular in machine learning?
JAX offers fast computation, automatic differentiation, and efficient use of hardware, making it ideal for advanced AI experiments and scientific computing.
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