From Tech Enthusiast to AI Implementer

I am writing from the perspective of a tech enthusiast. AI was always in the back of my mind. ML was all the rage. I remember, years after hearing so much about it, trying it for the first time using some Python—it felt magical. But, kind of like when I couldn’t stop hearing about neural networks, I couldn’t really put my finger on how these technologies would change our day-to-day lives in the near term. It always felt like this was something for the future, and the incremental changes would only compound once we were older.

OpenAI's ChatGPT using GPT-3 was a leap. But I’m sure the average tech enthusiast felt the same: a lot of excitement and then neglect. There were too many hallucinations, too many limitations—it was really only good at a handful of tasks, and it didn’t do them consistently.

The models have improved over the past years, and they can definitely do more things better, but until recently, I felt they lacked real-world implementations. Join me on my small journey of making useful and easy AI that can really help everyday people. Most of what I will go through requires literally no technical skills, while some solutions might require a bit of code.