I’m Alex Gude, a data scientist with a passion for plots and algorithms, but also cycling and photography. I got my start in the valley at Insight Data Science. In my previous life, I was a high energy particle physicist at CERN and a cosmologist at Lawrence Berkeley Labs.
I write about whatever catches my attention here on this site; mostly that means data science, machine learning, deep learning, and software development related topics. My writings on deep learning from my time at Lab41 can be found at Gab41 and rehosted on this page. If you’re interested in my thoughts in real time (as well as sneak peaks at what I’m writing), follow me at @alex_gude on Twitter and Mastodon.
The code that I write lives on my Github page. Check it out! Bug reports and pull requests welcome!
Below you can find my most recent articles and projects; older ones can be found here:
Word2Vec failed to solve SAT analogies, can modern language models do better? A small test of Anthropic's Claude LLM.
Large language models (LLMs) are incredibly valuable tools, but they're not for everything. Here's a simple rule to know when to use them and when to avoid them.
OpenAI's ChatGPT is viewed as entertaining but not useful because it makes up facts. But I find it incredibly valuable for writing. Here is how I use it.
AI generated art took off with the open-source release of Stable Diffusion, leaving some artists worried. As an artist and machine learning engineer, here is my take.
Halloween can be a dangerous time for pedestrians. In this post, I explore the statistics on pedestrian-vehicle collisions, including when these incidents are most likely to occur.