Producing a Chainsmokers Remix with AI (MusicAutobot), DAWNBench & fast.ai | Interview with Andrew Shaw

In this episode, Sanyam Bhutani interviews Andrew Shaw. In this interview, they talk all about Andrew's journey into the field, his fast.ai journey, and his recent project: musicautobot. MusicAutobot is an "AI Pop Music Generator". They also briefly talk about the fast.ai DAWNBench results. Links:  https://musicautobot.com/ fast.ai DAWNBench: https://www.fast.ai/2018/08/10/fastai-diu-imagenet/ https://www.fast.ai/2018/04/30/dawnbench-fastai/ Blogposts: Part 1: https://towardsdatascience.com/creating-a-pop-music-generator-with-the-transformer-5867511b382a Part 2: https://towardsdatascience.com/practical-tips-for-training-a-music-model-755c62560ec2 Part 3: https://towardsdatascience.com/a-multitask-music-model-with-bert-transformer-xl-and-seq2seq-3d80bd2ea08e Part 4: https://towardsdatascience.com/how-to-remix-the-chainsmokers-with-a-music-bot-6b920359248c Follow: Andrew Shaw: https://twitter.com/bearpelican Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: https://medium.com/@init_27 About: http://chaitimedatascience.com/ 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