It has been approximately 7 months (as of the time of writing) since ChatGPT was released to the public. During this relatively short period, numerous new Large Language Models (LLMs) have emerged, prompting the business world to hastily navigate the profound transformation caused by these developments. As LLMs continue to…

I’ve been exploring the AI/ML/LLM ecosystem lately and have come across some new tools in the Python/Jupyter ecosystem. One of these tools is pygwalker, which is a fantastic library that works with pandas (or Polars) and Jupyter Lab. It’s super straightforward to get started using it and exploring your data…

A few weeks ago a former co-worker (and overall awesome guy) posted this experiment/idea. Today, I finally gave it a try. And it delivered as promised. (note: I’m a cheapskate, so, putting down the CC to pay for OpenAI API was a mental hurdle I had to get over. …

For almost 50 years, starting from the time of Xerox Labs, engineers and scientists, there has been an ongoing effort to develop a collection of patterns and a formal field of study for human-computer interaction. As computers, programs, devices, have all evolved tremendously, so have the need for user experience…

A lot of the tutorials I’ve seen for getting a basic LLM stack locally make the assumption the user has a Mac or Linux machine. Maybe the assumption makes sense given the prevalence of these two platforms in tech circles. However, a big swath of the world runs on Windows…

While there are many aspects of this latest generation of AIs and LLMs that are as empowering as they are humbling, their incursion in the realm of creative arts is, in my opinion, more troubling than they are empowering. Consider me, for example, I could quite literally not be able…

Yesterday, I wrote about the very impressive inferential capabilities of ChatGPT as a data generator. This, however, only scratched the surface of those capabilities. I wanted to see if that generated data was truly random (uniform distribution) or if ChatGPT was “smarter” than I was already giving it credit for. …

For a rather lengthy and comprehensive high-level explanation about #chatgpt and #llm this post is more than worth your time (highly suggest reading it in parts rather than in one go). https://medium.com/@mark-riedl/a-very-gentle-introduction-to-large-language-models-without-the-hype-5f67941fa59e

Among the productive things #chatgpt can do, generating random data to spec is definitely an understated highlight. Prompt: You’re now a data generator. I need you to generate the following data in CSV format: - 100 rows - 5 columns: “name”, “lastname”, “age”, “height” and “weight” The impressive part is…