brensudol

punchlines.ai is an AI joke generation tool built on top of a large language model (GPT-3.5 Turbo). It was fine-tuned on thousands of late night comedy monologue jokes (https://github.com/brendansudol/joke-gpt).

web app is open-source, too: https://github.com/brendansudol/punchlines-ai

Not a dumb question! This is called fine-tuning; here's more info about it: https://beta.openai.com/docs/guides/fine-tuning

Process is very straightforward -- all the code (data cleaning, uploading, tracking can be found here: https://github.com/brendansudol/joke-gpt/blob/main/train.ipy...)

Here's more information on the fine-tuning process: https://beta.openai.com/docs/guides/fine-tuning

In terms of where it's incorporated in the code, the fine-tuned model id is stored in an environmental variable called `process.env.OPENAI_MODEL_ID` which then gets passed to the completion endpoint

thanks a lot! re: fine-tuning - it was about $30 using the most expensive model (davinci)

I've seeded it with 4 months of data (stored statically in json files for simplicity for now), and have a script to add data for additional days, but the plan is to migrate over to a db (curious to try supabase) so that users can save / like individual entries.

web app code on github: https://github.com/brendansudol/smartful

Thanks Tyler! Good catch; that does make this question a bit harder to answer... :) Will try to fix

I made this with Django on the backend, and React on the frontend, and it's hosted on Heroku.

Code is open-sourced: https://github.com/brendansudol/jeopractice.com

I made a simple DIY ranking system using the same College Scorecard data last week. Here you go: http://bsudol.com/1PUPohk

You can select which variables are important and how much, and it generates a top/bottom 50 list.

This was inspired by this article from NPR (http://www.npr.org/sections/ed/2015/09/21/441417608/the-new-...)

Hey @thekevan: thanks for the detailed comment. I appreciate the suggestions (more details, bigger pictures, something to convey authority) and your interpretations on the minimalistic design. And you're right, you are definitely free to just browse around on Amazon for cool stuff -- the idea here is that if need some inspiration or are not sure what you want, this could be a nice starting place of pretty cool, well designed products are already laid out for you. I should try to communicate this value better - thank you for the feedback!

that's up there on my list (and a nice excuse to figure out to how to rank friends by closeness) -- thanks for the nudge!

thank you! and good call -- i def will add that in.

thanks for the feedback, adrusi. i hear your point about the gift feature. re: showing that you care, i hope the text reminders will help people remember to send their good wishes and prioritize special occasions that sneak up!