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jw4ng
searching PlanetScale…
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Generate AI image from simple sketch
(facebook.com)
1 points
by
jw4ng
4y ago
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0 comments
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by
jw4ng
4y ago
Without any supervised training data, it's pretty difficult to create a very good translation model. For many languages, data might only be available through religious domains such as the Bible, or not available at all. We created a da
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by
jw4ng
4y ago
This enables any researcher to use our code freely, and build on top of it for their own research. We are not intending to commercially licensing our project.
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by
jw4ng
4y ago
We think it's important for AI to truly support everyone in the world. A world where AI only serves a subset of the population is not ideal. In machine translation, this means supporting as many language as possible at high quality. We
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by
jw4ng
4y ago
I gained a deeper understanding of what it truly means to be inclusive. Every language is unique just like everybody and making sure content works for all and including as many people as possible is really really hard, but through this proj
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by
jw4ng
4y ago
All translation directions are direct from language X to language Y, with no intermediary. We evaluate the quality through 40,602 different translation directions using FLORES-200. 2,440 directions contain supervised training data created t
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by
jw4ng
4y ago
hey there, I work on this project. We categorize a language as low-resource if there are fewer than 1M publicly available, de-duplicated bitext samples. also see section 3, table 1 in the paper: https://research.facebook.com/
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by
jw4ng
4y ago
Jeff Wang here with my fellow Meta AI colleague Angela Fan from No Languages left Behind, seeing the comments flowing through. If you want to ask us anything, go for it!