Model training

How it works

You can fine-tune a large language model (LLM). You can also feed parallel data to a neural machine translation (NMT) engine to steer it toward your terminology and style. Which gives you better output? Which is more efficient in tokens and energy?

AI is moving fast, but it isn't always the right answer. Before you commit, it pays to think through how you'll maintain your language assets, because that shapes how well any model performs.