Autocomplete a sentence #96
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Hey super cool @bladedsupernova Thats fantastic. What is the hardware you are using ? Is it CPU or GPUs ? The queries return amazings super fast. |
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It's not mine. |
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Seems like allenai guys have made it using pytorch-bert. Thanks. |
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yes, gpt2 doesn't though, and mine doesn't though. Though my last algorithm
did but my current one is way better.
…On Sun, Aug 18, 2019 at 5:18 AM xandyxor ***@***.***> wrote:
Hello,
Is it possible to predict the next or previous word in a sentence as the
research claims ?
For example, like Google translate type "apple", and produced the example
sentences
[image: 圖片]
<https://user-images.githubusercontent.com/22829656/63222534-f8579a00-c1db-11e9-9f2b-d43fec6e7142.png>
Thanks
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@bladedsupernova Thanks. Is your current algorithm open sourced or closed ? If its opensource can you share the github link ? |
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i'm gonna opensource all my works soon.....I will change the
world......just not exactly today but in a month or so I'll release it all
What did you want to do with it?
…On Mon, Aug 19, 2019 at 2:34 AM Kishorekumar Neelamegam < ***@***.***> wrote:
@bladedsupernova <https://github.com/bladedsupernova> Thanks.
Is your current algorithm open sourced or closed ? If its opensource can
you share the github link ?
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Although i don't know exactly what you have accomplished in your work. I believe you have a better algorithm to "Predict the next word in a sentence(autosuggest of words in a sentence)". I would to extend and use the same. Thanks looking forward to it. |
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My algorithm is fully maluable, raw mechanisms, no hidden training etc, and
I got this from it below and checked my data to make sure it didn't
copy-paste 5/6 words. I used 400MB of data.
The software was made on a
The software was made on a wide variety of devices, and operating apps and
applications that users can easily read as an app for android. It is a bit
of a difference, but i was able to get it. The developers are not going to
make it through a web applications, and devices i have seen in the running
for the mobile apps. Applications allows users to access applications
development tools, and allow applications of the app store. A multimedia
entertainment entertainment device, and allows platforms enabled access to
hardware interfaces. Using a bit of html application app developers can
enable users to access applications to investors, and provide a more
thorough and use of development. The other a little entertainment media,
and user development systems integration technology. Applications allows
users to automatically provide access to modify, optimize capability allows
users to easily enable. Both users and software systems, solutions allowing
owners software solutions solutions to integrate widgets customers a day.
And if you are accessing services product, and mobile applications remotely
access to the software companies can easily automate application access to
hardware devices hardware systems creators and technologies. Builders and
developers are able to access the desktop applications, allowing users
access allows users to
…On Mon, Aug 19, 2019 at 3:11 AM Kishorekumar Neelamegam < ***@***.***> wrote:
Although i don't know exactly what you have accomplished in your work. I
believe you have a better algorithm to "Predict the next word in a
sentence(autosuggest of words in a sentence)".
I would to extend and use the same.
Thanks looking forward to it.
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Ok, thanks looking forward to it. Currently we use https://gpt2.apps.allenai.org |
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Hello,
Is it possible to predict the next word in a sentence as the research claims ? Is this locked in the bigger model ?
The python code randomnly generate sentences.
For example, like Google smart compose type "My father gifted me ", and an autocomplete prompts
cheque?Thanks
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