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.
See carrot in Action
Just describe what you need. Carrot handles the rest.
Your Team's Most Productive ML Engineer
Fine-tuning LLMs is complex, time-consuming work that requires deep expertise.
Carrot is an AI copilot that empowers your 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 everything from generating synthetic data to debugging training runs, all tailored to your use case.
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.