Automorphic is a safe and self-improving language model platform. It utilizes fine-tuning techniques to inject knowledge into language models, bypassing the limitations of context windows. You can train adapters to achieve specific behaviors or knowledge and dynamically combine and switch them at runtime. Automorphic also provides human-in-the-loop feedback to rapidly iterate the model and deploy it into production. You can also use pre-trained models for inference on Automorphic Hub.