Fine-tuning platform that infuses knowledge into LLMs using deployed model outputs as training data with as few as 10 samples.
Automorphic builds tools for models to maintain other models, treating deployed model outputs as a training corpus for successive fine-tuning iterations. The company has developed a fine-tuning approach that allows developers to infuse knowledge into LLMs with as few as 10 samples, surpassing context window limitations, enabling rapid iteration on custom models cheaply and efficiently. Automorphic is a product of Automorphic.