Livestream: Computer Generated Tweets and Other Prose Using GPT-2

Location image of event venue


This event will be Livestreamed here:

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 and 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 and manage refined models of GPT-2.

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 and Scheme. He has also worked in various fields such as Insurance, Computational Population Biology, Distributed Ledgers, CRM and web development. He got his Bachelors in Computer Science from University of Illinois at Chicago in 2012.


About Metis

Metis ( accelerates data science learning for individuals, companies, and institutions through corporate training and accredited, immersive bootcamps.

The Metis bootcamp curriculum is designed and delivered by highly educated and industry-experienced practitioners, and all bootcamp graduates receive hands-on career support until they’re hired. Campuses are located in Chicago, New York City, San Francisco, and Seattle.

On the corporate side, Metis works with large organizations who want to upskill their teams in data science and analytics to gain efficiencies, remain competitive, and improve their bottom lines. Metis is proud to be backed by Kaplan, a global leader in education.


Join our Metis Community Slack channel!

Apply here:


Metis Code of Conduct

Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof).

We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.

If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.