Comment by Lucasoato

10 hours ago

> 4. It thinks in German

This means that it’s always on time, it uses acronyms for everything and when there’s a decision to be made, it sets up a committee.

Somewhat hilariously, our model is actually surprisingly bad at telling jokes in German. Guess that's not required to solve tasks in training environments.

Disclaimer: I am part of the team that trained Kolibri

Does it? I thought only semantics survive the embedding process, i.e. token conversion to vectors.

It is a good approach to promote it as a German model. But I wonder if it really thinks like the German think. I speculate they just translated texts in other languages, likely English and Chinese, into German.

I wonder if their very long words result in more or less token usage.

  • Very long words in German are just compounds, made from individual words or morphemes. It is the same as in English if you remove spaces. Subtokens will be equivalent with or without examples.

  • This is an interesting question, Chinese is way more compact in Character count vs English (about 40%?), let alone german, but yeah.. Chinese makes up for it with… total character count that runs into the thousands…

And refuse to answer in English. You know, German are so proud of their language.