Medium

Jonathan Fraine

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Jonathan Fraine

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Mar 3, 2024

Generative AI Through the Ages: Convolutional Autoencoders

Generative AI (GenAI) is any form of computational algorithm that can create new content related to a set of data from which it has learned…

Generative AI Through the Ages: Convolutional Autoencoders

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Jonathan Fraine

·

May 25, 2023

Decentralised Decision Making

Agile project management and decision-making in the world of remote and hybrid teams.

Decentralised Decision Making

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GoPenAI

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Jonathan Fraine

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Jun 7, 2023

Ask-Wiki-Anything with CohereAI, LangChain, and ChatGPT

Combining the open-source CohereAI Wikipedia embeddings with LangChain tools and OpenAI’s ChatGPT LLM to create an unofficial Wiki-Q&A Bot

Ask-Wiki-Anything with CohereAI, LangChain, and ChatGPT

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Jonathan Fraine

·

May 1, 2023

Computer Vision Deep Learning Primer with Keras and Python

An extended, detailed primer for the Keras Deep Learning Framework and Convolutional Neural Networks with Examples in Python for Computer…

Computer Vision Deep Learning Primer with Keras and Python

Jonathan Fraine

·

Mar 9, 2024

Generative AI Through the Ages: Convolutional Autoencoders Part 3

Visually Evaluate the Latent Space of a Convolutional Autoencoder to Understand the Original Architecture of Generative AI.

Generative AI Through the Ages: Convolutional Autoencoders Part 3

Jonathan Fraine

·

Mar 9, 2024

Generative AI Through the Ages: Convolutional Autoencoders Part 2

Build a Convolutional Autoencoder to Understand the Original Architecture of Generative AI.

Generative AI Through the Ages: Convolutional Autoencoders Part 2

Jonathan Fraine

·

Mar 9, 2024

Generative AI Through the Ages: Convolutional Autoencoders Part 1

The origin story for Generative AI is based within the architecture of convolutional autoencoders.

Generative AI Through the Ages: Convolutional Autoencoders Part 1

Jonathan Fraine

·

Feb 16, 2023

Metropolis-Hastings MCMC from Scratch in Python

We derive the direct MCMC algorithm in Python to illuminate the expectations, assumptions, and conditions to use MCMC for machine learning

Metropolis-Hastings MCMC from Scratch in Python

Jonathan Fraine

·

Jan 8, 2023

Bayes to MCMC with Examples in Python

Understand the components of Bayesian inference, and how it relates to the output of an MCMC operation.

Bayes to MCMC with Examples in Python

Jonathan Fraine

·

Dec 12, 2022

What ChatGPT could mean for Learning How to Learn Machine Learning

How low can large language models lower the bar to entry for writing about machine learning — and other content creation projects?

What ChatGPT could mean for Learning How to Learn Machine Learning

Jonathan Fraine

Jonathan Fraine

Director of Engineering for Wikimedia DE. I work with dozens of motivated and enthusiastic developers to improve the future of free knowledge around the world.

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