Okay, so the other day I was messing around, trying to figure out which AI models are really the “greatest of all time.” It’s a huge rabbit hole, I tell you! Here’s how I went about it.
Started with the Obvious
First, I hit up the usual suspects. You know, the big names everyone talks about.
- I started searching around for GPT-3, of course. That’s the one that writes all those articles and poems.
- Then there’s BERT, which is, like, Google’s secret weapon for understanding search queries. I spent some time looking into that.
- And I couldn’t forget about ImageNet winners. Remember AlexNet? That was a game-changer for image recognition, so I dug up some old papers on that.
Diving Deeper into the Research
But I didn’t want to just stick with the popular ones. I wanted to find some hidden gems, the models that maybe don’t get as much hype but are still super important.
So, I got way into research papers and articles. I spent hours reading about different architectures, like transformers and convolutional neural networks. Man, my brain was fried! I learned the different use for each one.
Getting My Hands Dirty (Sort Of)
It’s one thing to read about this stuff, but it’s another to actually see it in action. I tried to play around with some of these models.
I messed with some online demos of GPT-3, trying to get it to write silly stories.
Figuring Out What “Greatest” Really Means
The more I learned, the more I realized that “greatest” is a really tricky word.
Is it the model that’s the most accurate? The most efficient? The one that had the biggest impact on the world?
I started thinking about all these different factors.
For example, a model might be super accurate but also really slow and expensive to run. Is that “greater” than a model that’s a little less accurate but way more practical?
My (Current) Conclusion
Honestly, I’m still not sure I have a definitive answer. It’s a constantly evolving field.
But, through this process, I definitely have a much better appreciation for all the amazing work that’s gone into these models.
I’m going to keep exploring, and maybe I’ll update this later with a more concrete list. But for now, I’m just amazed by all of it.
