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Fireworks explains how to train a specialized open model with SFT

AIFireworks' Prof_OZ explains how to use supervised fine-tuning (SFT) to train a behavior into an open model's weights, so prompts no longer need to repeat it. The steps are to pick one task, pair inputs with ideal outputs, train on Fireworks, test on new inputs, and compare against the original model.
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Fireworks' @Prof_OZ explains how training a specialized open model is easier than you may realize.

The first step involves using supervised fine-tuning (SFT) to train a behavior into the model's weights. This way, you don't have to repeat it in every prompt.

→ Pick one task
→ Pair inputs with ideal outputs
→ Train on Fireworks
→ Test on new inputs
→ Compare against the original

Here's the full guide for you to try yourself: https://docs.fireworks.ai/fine-tuning/fine-tuning-models

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Original title: Fireworks' @Prof_OZ explains how training a specialized open model is easier than you may realize.