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EVENT DETAILS |
This event will be Livestreamed here:
https://livestream.com/accounts/23925505/events/8861798
ABSTRACT:
Here we will go over how to apply GPT-2, a generative deep learning model to generate text that mimics an input of a person's tweets. We will focus on preparing your input text so that it can be understood by the model & also how to make sure you aren't overfitting. Then we will
look at using GPT-2 on Google Colab with GPT2-simple, which is an easy way to use the library that allows you to train, run your model & manage refined models of GPT-2.
BIO:
Joshua Herman is a Python Developer at Bank of America working on software infrastructure for currency trading. He has six years of experience in software development using various languages such as Python, JavaScript, Java & Scheme. He has also worked in various fields such as Insurance, Computational Population Biology, Distributed Ledgers, CRM & web development. He got his Bachelors in Computer Science from University of Illinois at Chicago in 2012.
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About Metis
Metis (https://thisismetis.com/) accelerates data science learning for individuals, companies, & institutions through corporate training & accredited, immersive bootcamps.
The Metis bootcamp curriculum is designed & delivered by highly educated & industry-experienced practitioners, & all bootcamp graduates receive hands-on career support until they're hired. Campuses are located in Chicago, New York City, San Francisco, & Seattle.
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Apply here: http://bit.ly/MetisCommunitySlack
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