Using Models Together ChatGPT Atlas and Earth Index
Using ChatGPT Atlas and Earth Index together. This yielded some interesting results.
A lot of my experimentation lately is using common AI tools in different ways. I decided to see what would happen if I tried using ChatGPT with geospatial models. And I just did a simple experiment where I was working to create labels in Earth Index and using ChatGPT’s browser Atlas as my partner in that.
I’m sharing with you part one, which is not the more successful part of doing this. ChatGPT has difficulty using the map and it would have been much faster for me to do it by myself. I also tried this workflow 4 different times and with different types of features dairy farms, green houses and mining. The first time I did it was the most successful, but it was also the time I wasn’t recording.
Part two, I’ll show you how we review the predictions. It worked quite a bit better for that, I could see how the LLM might actually be helpful in a custom application. I also observed some other difficulties.
Earth Index has some unique aspects to its interface that aren’t as common as some of the more traditional Slippy map implementations. It made me wonder if it would be harder with an LLM browser to use non-traditional interfaces. Because it definitely gets caught up a little here.
Here are the results in video form.
And surprise, I have a YouTube channel now too!
-Kate