Grok is a research-oriented Python package developed by OpenAI to explore how neural networks—particularly transformer models—learn and generalize. It is primarily used to study the phenomenon of "grokking," where a model initially memorizes data and then suddenly begins to generalize correctly after extended training.

Features of Grok:

• Implements transformer-based models for experimentation.
• Includes tools for training, evaluating, and visualizing model behavior.
• Supports detailed metric tracking to observe generalization patterns.
• Modular design for flexible research workflows.

To check the installed Grok version, run: pip show grok

Disclaimer: Grok is an open-source research project maintained by OpenAI. It is intended for experimental use and academic research. The codebase may evolve and is best used by developers and researchers with a background in machine learning. Refer to the official repository for setup instructions and contributions.