Summary: Cursor adds advanced PyTorch experiment features

Why It Matters: This change shows Cursor is improving its AI coding tools for complex machine learning tasks.

What Changed:

• The code example for PyTorch MNIST experiments was greatly expanded.
• The new code includes mixed precision training, validation splitting, and configuration management.
• The new code adds features like gradient clipping and checkpointing.
• The new code adds a command-line runner script for experiments.
• The new code adds saving results and generating detailed reports.
• The "Complete codebase understanding" section now shows "Grepped," "Searched," and "Searching" actions.
• A new UI element with "🖥☉☾" was added at the bottom of the page.