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saurkt
searching Neon…
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by
saurkt
5y ago
Turing team member here. You can also try the demo at the following link which operates at pixel level for images (no meta-data which is how similar systems like search engines work). Another cool thing is that the model does inherent OCR w
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saurkt
5y ago
(Team member of this project) Just a clarification, both Microsoft and Nvidia have ownership of this model. Here is the Microsoft version of same announcement. https://www.microsoft.com/en-us/research/blog/usi
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by
saurkt
6y ago
A similar feature of soft Ctrl+F is available in the web version of Microsoft Word. https://mspoweruser.com/find-feature-in-microsoft-word-whole... Disclaimer: Microsoft employee
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by
saurkt
7y ago
Yes, these things keep us up at night as well :-).
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by
saurkt
7y ago
If you want access, please send an email to [turing_ AT _microsoft _DOT_ com]. Remove underscores and spaces.
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by
saurkt
7y ago
We don't have an exact date, but, we plan to share more details in a later submission. If you want access, please send an email to [turing_ AT _microsoft _DOT_ com]. Remove underscores and spaces.
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by
saurkt
7y ago
Thanks for your kind words. Yes, we would like to next train a language representation model. And our hunch is that probably something which is a mixture of language representation and language generation would be able to get the best of bo
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by
saurkt
7y ago
(Similar to the response for another question.) BERT is a language representation model while Turing-NLG is a language generation model (similar to GPT). They are not directly comparable (they can potentially be massaged to mimic the other,
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by
saurkt
7y ago
SQUAD and GLUE are tasks for language representation models -- aka BERT-like. This is a language generation model -- GPT-like. Hence, SQUAD/GLUE test sets are not really applicable. We are reporting on the wikitext and lambada sets tha
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saurkt
7y ago
Not yet. We will try to run against those benchmarks soon.
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by
saurkt
7y ago
One of the team members from Project Turing. Happy to answer any questions.