Summary: Cursor adds advanced PyTorch experiment framework

Why It Matters: This change shows Cursor is improving its AI coding tools. It helps users build and test AI models better.

What Changed:

• The code example for PyTorch MNIST experiments was greatly expanded.
• The new code includes mixed precision training, validation splitting, and configuration management.
• It adds features like gradient clipping, checkpoints, and detailed reporting.
• The description of the AI agent's actions was updated to reflect these new capabilities.
• A new search result "Where is the model picker UI implemented?" was added under "Complete codebase understanding".