Summary: Cursor adds advanced ML experiment framework

Why It Matters: This change shows Cursor is making its AI coding tools more powerful for machine learning tasks.

What Changed:

• The code example for train_model.py was greatly expanded.
• The new code includes features like mixed precision training, validation splitting, and configuration management for machine learning experiments.
• The description of the AI agent's actions was updated to reflect these new capabilities, including "Training: AMP, train/val split, cosine schedule, gradient clipping, checkpoints" and "Experimentation: YAML config, saved history, confusion matrix + classification report, CLI runner."
• The "Complete codebase understanding" section added new example text: "* Searched Where is the model picker UI implemented? * Searching".