Fine Tuning

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Easily collect data, annotate, and fine tune an open source model!

What's a good use case for fine tuning?

We've seen classification or categorization workflows perform VERY well in fine tuning workflows.

Fine tuning specifically improves accuracy, speed, and cost.

Improve accuracy: We train on your specific responses, which a general model like OpenAI may not be good at.

Speed: We use smaller models, like Mistral 7B, which results in both fast training AND fast inference

Cost: Get rid of a bunch of prompt tokens that teach the prompt how to classify and completion tokens.

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