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Video Version: https://youtu.be/_5XDjUoQvp4

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In this episode, Sanyam Bhutani interviews Graduate student and researcher at Carnegie Mellon University: Aman Madaan

Aman has worked across different industries across different machine learning related use cases, which they talk all about in this interview. He's worked on use cases involving applications at large scale and has recently transitioned into academia.

They discuss about his perspective and his perspective changes from that transition.

Aman has also taken the fast ai course, one of his posts from three years ago just became a reality his idea led to people research project about "Politeifying text": Making your text making your text more polite.

They discuss all about this project, and how have the last three years helped make this happen.

Links:

Politeness Transfer: A tag and Generate Approach: https://arxiv.org/pdf/2004.14257

Follow:

Aman Madaan:

https://twitter.com/aman_madaan

https://madaan.github.io

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

#fastai #StyleTransfer #DeepLearning