On June 9, Michael Sokolov and Eugene Zarzhytskyi will hold an online workshop about the practical text generation by large neural networks. You will learn original approaches to building pipelines from text generation, some interesting tricks with GPT2, XLNet, and much more. The workshop will be in interactive form with practical tasks that you will perform in Google Colab with the lecturer’s help.
All money for the purchased tickets will be donated for food kits for retirees to the Zhyttieliub Foundation. Price for one ticket = product set.
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Report language: Russian
Michael Sokolov, CTO, Dex Technologies
Michael is a data strategist, NLP expert and systems architect. Successfully implemented dozens of large projects, including projects for the US government and achieved state-of-the-art results in QA systems.
He runs his own data science R&D company and coordinates several companies in the development and delivery of AI software and solutions for IT, Healthcare, Finances, Cybersecurity, Retail and other spheres.
Eugene Zarzhytskyi, Co-founder, Dex Technologies
Eugene is Dex Technologies co-founder and a Senior Software Engineer with 20+ years of programming experience in different programming languages. He is an ardent supporter of the open source ideology who loves quality code. Eugene has been a lead architect on most of the DEX projects for a long time. Eugene has a second degree in Project Management which allows him to organize the development process efficiently.
In the workshop, we will consider some original approaches to building pipelines from text generation:
📌 lecturers will show you some interesting tricks with GPT2, XLNet, and other models;
📌 the workshop will be in interactive form with practical tasks that you will perform in Google Colab with the lecturer’s help;
📌 together we will consider the main approaches to text generation;
📌 we will understand how the results produced by different models differ;
📌 we will visualize the results for better understanding;
📌 we will collect own pipeline from pre-prepared components and dataset to generate text;
📌 As a result, each participant will have his/her own unique result and interesting experience.
The most creative participants will receive small prizes.
For the workshop, you will need: knowledge of Python, google account, google colab / jupyter notebook, knowledge of English — intermediate +.