Why Automorphic?

Automorphic is a good fit for developers who:
  1. Want to get knowledge into their models
  2. Struggle with production-level quality from standard vector db Q&A (LlamaIndex/LangChain)
  3. Don’t have the time to wrangle with fine-tuning infrastructure and learn the dark arts of hyperparameter optimization to run a single experiment
  4. Make minimal changes to existing code to get a model fine-tuned to your specifications. Inference the model using the same code you already have with the open ai api. For more information check out the Python Client.

Use Cases

Rapid experimentation Choose different fine-tuning techniques, and combine them to create a model fine-grained for precision Tune on raw corpus We minimize information loss by making it possible to train on the raw corpus

Key Features

Data Upload your raw text, and we inject knowledge directly into the model with our custom fine-tuning techniques. Build Use our adapters, or build your own custom adapters, and train a model tuned to your specifications in a matter of minutes. Test Watch your model improve in real-time. Make changes based on your desired preferences.