The same thing goes by many names… The Problem Important things go by multiple names or even by codes. Think states in the US. Virginia might go by Virginia, VA, or the State of Virginia. You can’t write a regex to solve this because the two letter abbreviations are irregular. You could…

Not uniform as expected but Benford’s… This article series will cover more obscure, but nonetheless useful mathematics laws. At the bottom of the page are links to the resources folder containing all code and data and to other articles in the series. To run the code in the Google Colab…

Efficient, pythonic code nicely packaged for consumption. Python and many of its packages have incredible official documentation, but it can be hard to get through it. Meet Python Quick Tips! For elegant, generalizable solutions to data science problems, see Python Deep Tips (forthcoming). Why take my word on it? Don’t. Explore…

One idea, three ways of looking at in. For learning, no one method works for all people. This is especially true for tough concepts. Things that come to mind are Python decorators, and Python regex. Basic methods that help learning and/or retention always: Try, take a break, try again. Your…

Deploy GPT-2 as an Autoscaling Web API Prerequisites: AWS — Free account with administrative username setup for programmatic access. When you setup the account, you will create a root user. Use the root user to setup an administrator with programmatic access. Use this one for Cortex and your own use…

GPT-2 is good, now you will it make it fast. At this point you have a finetuned 774M variant of GPT-2, but it has some problems. It is formatted for Tensorflow 1.x which has been deprecated and generating text with it is slow. To fix the formatting problems, we will…

Specialize GPT-2 for enhanced performance on any text This article is part of a series on GPT-2. It’s best if you start in the beginning. The links are located at the bottom of the page. What is fine-tuning? GPT-2 was trained on 40 gigabytes of text ranging across many subjects…

If you think your data is clean, you haven’t looked at it hard enough. This article is part of a series on GPT-2. It’s best if you start in the beginning. The links are located at the bottom of the page. In the next tutorial, you will fine tune (train)…

Open your toolbox, fill it up… This article is part of a series on GPT-2. It’s best if you start in the beginning. The links are located at the bottom of the page. In this article, I will talk about the resources you will use and direct you to tutorials…