Re:Ask HN: Best foundation model for CLM fine-tuning?
by mathiaspoint on Monday September 01, 2025 @07:24AM
(#45091796)
Why would you throw out the original embedding layer? That seems like a step backwards to me. It's likely it was partly trained on Yiddish and without it you're throwing out a lot of information in the rest of the model.
I ran some tests and, without fine-tuning, GPT can translate medieval German, for example, considerably better than well-known scholars today.