Carrot Labs
carrot is a copilot for fine-tuning LLMs.
Our agents automate the entire loop from data generation to training run debugging, so engineers can build specialized models without weeks of overhead.
Your Automated ML Engineer
Hiring a specialized ML engineer costs $500k/year and takes months to onboard.
Carrot is an AI copilot that costs a fraction of that. We enable your existing engineering team to do expert-level ML work, automating the complex loops of fine-tuning so you can ship specialized models faster.
End-to-End Automation
Forget manual data cleaning and hyperparameter guessing.
Carrot handles the heavy lifting: from generating synthetic data to debugging training runs. It's not just a tool; it's an intelligent system that understands your model's goals.
Data Generation
Automatically generates high-quality synthetic datasets tailored to your specific domain and edge cases.
Reward Functions
Intelligent reward modeling that learns from feedback to guide your model towards optimal behavior.
Job Automation
Hands-off management of fine-tuning jobs, scheduling, and resource allocation.
Auto-Debugging
Our copilot analyzes failures in real-time and suggests fixes for training instability.