Grok V9 Skipped GitHub and Trained on How You Actually Code in Cursor, All 1.5 Trillion Parameters

1. 1Build a dataset of actual coding practices using tools like Cursor
2. 2Train an AI model on this dataset to learn coding patterns
3. 3Configure the model to generate code based on learned patterns
4. 4Test the model's code generation capabilities
5. 5Apply the trained model to real-world coding tasks

AI engineers and researchers on a team can benefit from understanding Grok V9's innovative training approach, as it can inform their own model development and improvement efforts

💡 Training AI models on real-world coding practices can lead to more effective and efficient code generation

🤖 Grok V9's 1.5 trillion parameters trained on actual coding practices in Cursor! 🚀