Summary: Cursor adds advanced PyTorch experiment features

Why It Matters: This change shows Cursor is making its AI coding tools better for complex machine learning work. It helps users do more advanced tasks right inside Cursor.

What Changed:

• The example code for PyTorch MNIST experiments was greatly expanded.
• The new code includes features like mixed precision training, validation splitting, and a configuration system.
• The example now shows how to save training history and checkpoints.
• The description of the AI agent's actions was updated to reflect these new features.