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Viking 7B: open LLM for the Nordic languages trained on AMD GPUs

silo.ai

31–40 of 55 posts

Re: Viking 7B: open LLM for the Nordic languages trained on AMD GPUs

#31

Earlier quoted context omitted.

> its reasoning capabilities To be clear, LLMs are not capable of reasoning.

imo this is an uninteresting debate over semantics/metaphysics

Would you say a deontologist reasons? Evolution survives, but does it reason?

Is it reasonable to show interest in something you call uninteresting?

Was Gödel a reasonable man, starving to death in fear of being poisoned?

Re: Viking 7B: open LLM for the Nordic languages trained on AMD GPUs

#32

I have had this question. How much better would common LLMs (Llama, GPTN) be if they were only trained in one language? I have to assume they would perform better, but I might be wrong.

Perform better how? Knowing more languages gives you more data and different points of view rather than just using the English corpus and culture. When I ask chatgpt for a translation it seems to understand the meaning behind the words and finds the closest thing in the other language. The datasets seem to merge in some way

Fair, but there may be overhead that doesn't need to exist. Certainly - for the limited compute my brain can accomplish - I could gain a deeper understanding of physics, if I focused on learning physics and didn't also have to simultaneously learn French.

Re: Viking 7B: open LLM for the Nordic languages trained on AMD GPUs

#33

I have had this question. How much better would common LLMs (Llama, GPTN) be if they were only trained in one language? I have to assume they would perform better, but I might be wrong.

they would perform worse, i promise you

I think this makes sense to the extent that an understanding of the differences between language helps separate out language from the underlying meaning. However... the models that are used receive input (i.e. translate from language), and to learn / understand, and to output information (i.e. re-encode into language), do not all have to be the same.

Re: Viking 7B: open LLM for the Nordic languages trained on AMD GPUs

#34

Earlier quoted context omitted.

Perform better how? Knowing more languages gives you more data and different points of view rather than just using the English corpus and culture. When I ask chatgpt for a translation it seems to understand the meaning behind the words and finds the closest thing in the other language. The datasets seem to merge in some way

Fair, but there may be overhead that doesn't need to exist. Certainly - for the limited compute my brain can accomplish - I could gain a deeper understanding of physics, if I focused on learning physics and didn't also have to simultaneously learn French.

Human is not limited by computational power of brain (or rather, it is not the limitation we encounter). We are limited by time and the fact that our machinery degrades with time (aging).

Re: Viking 7B: open LLM for the Nordic languages trained on AMD GPUs

#35
First thing I notice is that Finnish is part of a completely different language family from the other Nordic languages and English (Uralic vs. Indo-European). I wonder to what extent this affects the effectiveness of their low-resource training. Finnish is highly agglutinative, adding prefixes and suffixes to modify a root. My (amateur) take is that the tokenization and attention patterns may differ a lot? Would love to see more educated people than I discuss this.

Re: Viking 7B: open LLM for the Nordic languages trained on AMD GPUs

#36

Earlier quoted context omitted.

Perform better how? Knowing more languages gives you more data and different points of view rather than just using the English corpus and culture. When I ask chatgpt for a translation it seems to understand the meaning behind the words and finds the closest thing in the other language. The datasets seem to merge in some way

Fair, but there may be overhead that doesn't need to exist. Certainly - for the limited compute my brain can accomplish - I could gain a deeper understanding of physics, if I focused on learning physics and didn't also have to simultaneously learn French.

In the short term. In the longer term you'll understand concepts better when you're multilingual.

Re: Viking 7B: open LLM for the Nordic languages trained on AMD GPUs

#37

First thing I notice is that Finnish is part of a completely different language family from the other Nordic languages and English (Uralic vs. Indo-European). I wonder to what extent this affects the effectiveness of their low-resource training. Finnish is highly agglutinative, adding prefixes and suffixes to modify a root. My (amateur) take is that the tokenization and attention patterns may differ a lot? Would love…

Then again the culture of Finland is very similar to the other nordics, which looks to be one of the reasons for the project.

Re: Viking 7B: open LLM for the Nordic languages trained on AMD GPUs

#38

Although not nordic not including basque which I guess could also be considered an European low-resource language.

I got the impression they are focusing on the nordic culture as much as the languages.

>Silo AI and TurkuNLP are dedicated to developing models that not only excel in linguistic performance and inclusivity but are also attuned to local values and cultures.

Re: Viking 7B: open LLM for the Nordic languages trained on AMD GPUs

#39
post #28

Earlier quoted context omitted.

I don't think they decided that, they included Finish which is completely unrelated to the other nordic languages. If they just picked languages that are related for cross learning including Dutch or German would have made more sense indeed.

The company is based in Finland, they started with Finnish

I understand, not saying they did something wrong just pointing out the selection of languages was not because of them belonging to the same family but rather to serve a certain region.

Re: Viking 7B: open LLM for the Nordic languages trained on AMD GPUs

#40

First thing I notice is that Finnish is part of a completely different language family from the other Nordic languages and English (Uralic vs. Indo-European). I wonder to what extent this affects the effectiveness of their low-resource training. Finnish is highly agglutinative, adding prefixes and suffixes to modify a root. My (amateur) take is that the tokenization and attention patterns may differ a lot? Would love…

>> to what extent this affects the effectiveness of

The correct use of those words demonstrates that you are either not an AI, all of them being trained on so much bad language, or are an AI from a more perfect future.

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