I used to spend hours writing and saving little Python scripts. Now, with LLMs, I can get the same code in under a minute. Python scripts, and small programs in general, are effectively free.
Hey there! It’s good to be back on the blog.
Over the past few years, I've experimented with coding alongside large language models. This post shares how I integrate them into my workflow.
OpenAI's ChatGPT 3.5 transformed my writing process when it came out. After years of experience using it, I've further refined my method of using LLMs. This post explains how.
The vlogbrothers have entered the conversation about the future of human-generated content, and you already know that I had to talk about it.
Human Generated Content, Issue 5
That was me in the last issue of Human-Generated Content and I would like to start by apologizing for this very predictable lie.
Publishers are seeing two very different futures for their businesses. Is the future of media aggregated and summarized or is it direct-to-audience?
Boy, did they make Google dance.
Manually fixing messy data is tedious and slow. But thankfully, LLMs are pretty good at piecing together mangled text. Read on to find out how!
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.