"I trained a neural network to write Tom Swifties," Tom said artificially. But seriously, after "success" with Oregon Placenames
I wanted to try something more complex. The short, repeating format of Tom Swifties
seemed like something it could tackle. I found a good compilation
and set to work training. (Start with the compilation if you haven't seen Tom Swifties before. You'll get the idea after a handful.)
I have a feeling I need to look into the whole GPU thing for processing because I've been training the AI nonstop on AWS for a few days now and while it has come a long way, it's still not speaking English. But the Swifty form is there and I think it has some interesting things to share. Here are a few:
- "Allye! Peen!" said Tom guiltorively.
- "I had a modight", said Tom inderitively.
- "I've not beat'd will we I sfong that take ban hisse", said Tom bardingly.
- "Let's go! wrong wo", said Tom posthalicteitingly.
- "Looks oke run shats", Tom repocked.
- "I more for owlanimors!" said Tom jauntly.
- "I haven to reperent", said Tom barch-oned.
- "I'm going to have sow manartioutive", said Tom pridely.
- "I like that a get a tround of chairs?" asked Tom consically.
- "You're faloamintica", Tom canied consentingly.
- "I don't play due the stragumed glan to the botheric", said Tom rasmitally.
- "It's tere takes my pief?" asked Tom centatically.
I notice that it's putting asked
with the questions. I wonder if the adverb will eventually match the subject in the quote. I'll keep training, but it seems to get slower as it gets more complex. "I wonder if I could tap into more processing power," pb said cloudily.