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AI trends: a Latent Space crossover
Practical AI: Machine Learning, Data Science, LLM
The Importance of Language Diversity in LLM Data Sets
I think the more we do that, I think it does benefit the downstream lower resource languages and lower resource scenarios more because we can still do fine tuning. There's still some major challenges there, especially because most of the content that's being generated out of models is not in central Siberian, Yupik, or one of these languages. But I think my hope would be that the larger foundation models see more linguistic diversity over time. And hopefully, there's benefit both ways in that sense.
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