Why AI doesn't speak every language
It could learn them all. But will it?
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Large language models are astonishingly good at understanding and producing language. But thereās an often overlooked bias toward languages that are already well-represented on the internet. That means some languages might lose out in AIās big technical advances.
Some researchers are looking into how that works ā and how to possibly shift the balance from these āhigh resourceā languages to ones that havenāt yet had a huge online footprint. These approaches range from original dataset creation, to studying the outputs of large language models, to training open source alternatives.
Watch the video above to learn more.
Further reading:
https://ruth-ann.notion.site/r....uth-ann/JamPatoisNLI
This is the hub for Ruth-Ann Armstrongās JamPatois NLI. You can see the dataset and read the paper.
https://arxiv.org/search/cs?searchtype=author&query=Melero%2C+M
You can read Maite Meleroās work on Catalan here.
https://huggingface.co/bigscience/bloom
This is the Hugging Face home for BLOOM, the open source large language model.
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