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Daniel Shapiro, PhD
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May 25

Machine Learning with DigitalOcean’s New Serverless Functions

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…

Regression

3 min read

Machine Learning with DigitalOcean’s New Serverless Functions
Machine Learning with DigitalOcean’s New Serverless Functions

Published in Towards Data Science

·May 8

Large Language Model Morality

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…

Deep Learning

4 min read

Large Language Model Morality
Large Language Model Morality

Published in Towards Data Science

·Nov 16, 2021

Games for Bots

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…

Towards Data Science

6 min read

Games for Bots
Games for Bots

Published in Towards Data Science

·Jun 27, 2021

The Nuclear Mousetrap

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…

Machine Learning

7 min read

The Nuclear Mousetrap
The Nuclear Mousetrap

Published in Towards Data Science

·Jan 18, 2021

lazy-text-predict

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…

Deep Learning

4 min read

lazy-text-predict
lazy-text-predict

Published in Towards Data Science

·Jul 1, 2020

AI Feynman 2.0: Learning Regression Equations From Data

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…

Machine Learning

9 min read

AI Feynman 2.0: Learning Regression Equations From Data
AI Feynman 2.0: Learning Regression Equations From Data

Published in Towards Data Science

·Jun 26, 2020

Artificial Intelligence for Internal Audit and Risk Management

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…

Audit

17 min read

Artificial Intelligence for Internal Audit and Risk Management
Artificial Intelligence for Internal Audit and Risk Management

Published in Towards Data Science

·Jun 14, 2020

Gender and Geographic Origin Biases

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…

Artificial Intelligence

18 min read

Gender and Geographic Origin Biases
Gender and Geographic Origin Biases

Feb 12, 2020

Lemay.ai Proud to be Named a Top AI Consulting Firm in Canada by Clutch!

Here at Lemay.ai, we know it can be stressful to launch an artificial intelligence initiative. That’s why we’re here to help! We’re a leading AI consulting firm that has the expertise in deep learning, software, and cloud computing to help your business soar. We take a holistic approach, analyzing your…

Artificial Intelligence

2 min read

Lemay.ai Proud to be Named a Top AI Consulting Firm in Canada by Clutch!
Lemay.ai Proud to be Named a Top AI Consulting Firm in Canada by Clutch!

Published in Towards Data Science

·Jun 30, 2019

FaceMath: An Algebra of Ideas in A.I.

Transforming Faces, Words, and Other Cool Stuff — Close your eyes, and think in your head about a doll. Now image that same doll can talk. Watch the doll talking. What you just did there in your head — the thing you can see talking — is the merger of the idea of a doll with the idea…

Machine Learning

10 min read

FaceMath: An Algebra of Ideas in A.I.
FaceMath: An Algebra of Ideas in A.I.
Daniel Shapiro, PhD

Daniel Shapiro, PhD

Passionate About Machine Learning R&D and Value Creation. ✍ daniel@lemay.ai ⬱ https://lemay.ai

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