Okay, so yesterday I was messing around with some AI stuff, trying to get it to predict stuff. The title I came up with was “borna gojo prediction” – sounds cool, right?
First off, I spent a solid hour just trying to figure out which AI model to use. There are like a million of them out there! Eventually, I settled on one that seemed decent for text-based predictions. I think it was some flavor of transformer model, but honestly, the names all blur together after a while.
Next, I needed to gather data. This was the real pain. I wanted to see if the AI could predict something specific, so I started scraping data from some website. It was super tedious, and the website kept changing its layout, which broke my scraper like five times. I swear, web developers are secretly in cahoots to make data scraping as annoying as possible.
Once I had the data, I had to clean it. Oh man, data cleaning is the worst. Missing values, inconsistent formats, typos… the whole shebang. I ended up writing a bunch of Python scripts to normalize everything. It was boring, but you gotta do it, right?
Then came the fun part – actually training the model. I fed it all the cleaned data and let it run for a few hours. The first few attempts were a disaster. The model was either overfitting like crazy or just predicting random garbage. I tweaked the hyperparameters a bunch of times, trying different learning rates, batch sizes, and regularization techniques. It was basically trial and error.
Finally, after a lot of tweaking, I got something that seemed kinda reasonable. It wasn’t perfect, but it was definitely better than random guessing. I tried using it to make some predictions. The results were…mixed. Some of them were surprisingly accurate, while others were completely off the mark. I guess that’s AI for ya – always a bit of a gamble.
I spent the rest of the evening playing around with different prompts and seeing how the AI responded. It was actually pretty entertaining to see what kind of wacky predictions it came up with. I saved some of the most interesting ones, maybe I’ll show them off later.
Anyways, that was my “borna gojo prediction” adventure. It was a lot of work, but I learned a ton about AI and data science. Plus, I got some amusing predictions out of it, so I’d say it was a worthwhile experiment.
- Step 1: Choose an AI model.
- Step 2: Gather data (prepare to scrape!).
- Step 3: Clean the data (prepare to be bored!).
- Step 4: Train the model (prepare to tweak!).
- Step 5: Make predictions (prepare to be surprised!).
Overall…
Would I do it again? Probably. It’s a fun way to learn and see what these AI tools are capable of. Just be prepared to spend a lot of time debugging code and wrangling data!
