Introduction

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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.

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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

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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.