NOT MATERIALIZED

I managed to reduce a PostgreSQL view’s query time by more than 80% with just the two keywords NOT MATERIALIZED and by reading the actual database manual when GPT-4 gave up. Below, I will explain the context of the speedup. I recently moved a little bit of business logic from an API endpoint and into… Continue reading NOT MATERIALIZED

The Painting Dataset

In my continuing exploration of generative adversarial networks, I found “The Painting Dataset” and wrote a short script to extract the images from it. Only about 1200 paintings seems to be valid, but it is at least something.

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Hello World is a Dream

Generating song lyrics using neural networks… that sounds cool! Those were my thoughts on an evening in the recent past, so I started experimenting with the idea. I decided to name the neural network that came out of this project Gene Lyrica One, a very AI-sounding name (it is “the year of AI” after all).… Continue reading Hello World is a Dream

Is it Mila?

One of the great things about the Internet is that people create all sorts of silly, but interesting, stuff. I was recently fascinated by a deep learning project where an app can classify images as “hotdog” or “not hotdog”. The project was itself inspired by a fictional app that appears in HBO’s show Silicon Valley,… Continue reading Is it Mila?

Golang and the search of the past

This post is mostly a status of what I have been up to here at the nearly-almost-half-year mark of 2016. Introducing Product Search By the end of 2015, we had already been using Elasticsearch for a while. It was the first part of a long-term strategy of moving data away from Google App Engine. Event… Continue reading Golang and the search of the past