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Unfortunately, it just isn't possible using the normal emailing system to send an email to somebody and have it auto delete itself after they have read it or after a certain period of time, just think of the kinds of security issues that would bring.

Although you can't do it with your normal emails, there is an alternative which is basically the next best option.

That is to use a secure web service where you can leave your message, then you email and send a unique link for the message to the other user and they can visit the webpage and view what's written.

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:) 🔥How we achieve state-of-the-art with @Py Torch🔥 One of our engineers, Lorenzo, explains in the #Py Torch blog how we use this deep learning framework to build the world's best tech for understanding street scenes at scale. pic.twitter.com/23mc H9Fo Wc Here’s how we trained an 8.3B parameter GPT-2.

We alternate row- and column- partitioning in the Transformer in order to remove synchronization and use hybrid model/data parallelism. Details and code: nv-adlr.github.io/Megatron LM pic.twitter.com/s Ek4q0h U7T Calling #Py Torch developers and researchers.

Check out the new ecosystem projects, Hub models (special thanks to @huggingface) and pssst we are going to be hacking together in Menlo Park next month.. We introduce an exact `Lazy Tensor` decorator for @Py Torch and #Num Py: free x30 speedup linear memory footprint for kernel methods, mesh processing and Sinkhorn on the GPU.

Sometimes you might have a need to send an email to somebody but you don't want it to remain on their computer, for security or personal reasons.

The Global @Py Torch Summer Hackathon is starting soon and you can join to win over K in prizes!

Access the link for all the info and get ready; registrations open at7 PM EST tomorrow: bit.ly/2Tgt J96 #PTSH19 pic.twitter.com/FZB3w5DWiz The Global Py Torch Summer Hackathon is here!

Fear no more: Torch Sharp brings the Py Torch engine to . Small & easy to understand code in @Py Torch with top quality translations. arxiv.org/abs/1907.12484 #NLProc @Stat NLP_HD @Amsterdam NLP #nmt @Kreutzer Julia #pytorch pic.twitter.com/377l Tfo BAV Introducing long- form question answering (ai.facebook.com/blog/longform-…), a new challenge that pushes #AI to provide complex explanations rather than just simple facts.

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