A handy guide on the different types of Artificial Intelligence, categorized by functionality — Artificial Intelligence (AI) can be defined as the process of building intelligent machines by training them with vast volumes of data, in order to simulate human processes like learning, reasoning, and decision-making. AI has revolutionized almost every single business sector, including defense, healthcare, banking, retail, entertainment, fitness, and transportation. There…

10 easy steps to deploy an ML model with functions — Yesterday, DigitalOcean released their new serverless functions capability for public use along with some examples from their closed beta. I am writing this article to help you get started as you try out machine learning projects on this new computing approach. The new DigitalOcean functions work similarly to AWS lambda…

Looking into the mismatch in morals between humans and pre-trained bots — Language Langauge Models (LLMs) are getting bigger, smarter, and more useful all the time. In this article, we will assess how some of these models perform when reasoning about moral questions. The models we will look into are GPT-2 from 2019, distil-GPT-2 from 2019, and GPT-neo from 2021. Other models…

Listing sets of things using NLP — In this article, we are going to dive into the automation of tasks performed by and between human “actors” in a computerized system. During one of the lockdowns in 2020, I created a simple memory game for my kids to play before bedtime. The memory game goes like this: Pick…

Try small easy solutions before pulling out the big guns — Scientists are now building trillion parameter models. Huge systems like GPT-3 and even bigger models like Wu Dao 2.0 are rolling off the assembly line. These truly huge models, their smaller transformers-based little brothers, and even good old from-scratch neural networks are very popular in the media and in practical…

An open-source library for quick and easy text classification — Introduction and Motivation There are lots of great text classification packages out there that can help you solve your business problem. For example, deciding on the sentiment of a sentence. However, there is a complication. Many tasks are custom, and therefore there is no pre-trained off-the-shelf model for you to use out-of-the-box. Making…

Let’s kick the tires on a brand new library — Table of Contents 1. Introduction 2. Code 3. Their Example 4. Our Own Easy Example 5. Symbolic Regression on Noisy Data 1. A New Symbolic Regression Library I recently saw a post on LinkedIn from MIT professor Max Tegmark about a new ML library his lab released. I decided to try it out. The paper is…

Dragging Assessments Into the Modern Era — Table of Contents 1. Abstract: Why AI for Internal Audit and Risk Management? 2. Introduction 3. Contemporary Internal Audit Challenges 4. AuditMap.ai: A Platform for Audit Enhancement 5. Limitations and the Way Forward 6. References 1. Abstract: Why AI for Internal Audit and Risk Management? Internal audit tasks within large organizations are slowed by the volume of documentation. Slow audit…

Small Business Classification By Name — Table of Contents 1. Overview 2. Background 3. Dataset and Data Preparation 4.1 Biased Model: A Model with Gender and Name Origin Biases 4.2 Replacing Names in Training Data and at Inference Time 4.3 Augmenting Training Data with Additional Gender Information 5. Analysis 6. Conclusion 7. References This article took…