This made for extremely painful reading (I'm not blaming the author), but I couldn't imagine getting given code full of syntax errors by GPT-4 - then asking it to correct them, only to get given more errors.
Co-pilot has been handy for generating structs and boilerplate code.
Where I think these models are currently interesting is in discovering conventions - libraries - approaches. Like an outline, which we know is probably broken - but enough for us to squint at and then write our own version.
Kind of like browsing an OSS repository to see "how it works" for inspiration.
Someone asked ChatGPT to write an OpenFaaS function for TTS - he needed to prompt it with the template name, and even then it got the handler format wrong. But it did show us a popular library in Python. To find the same with Google - we'd have to perhaps scan through 4-5 articles.
Co-pilot has been handy for generating structs and boilerplate code.
Where I think these models are currently interesting is in discovering conventions - libraries - approaches. Like an outline, which we know is probably broken - but enough for us to squint at and then write our own version.
Kind of like browsing an OSS repository to see "how it works" for inspiration.
Someone asked ChatGPT to write an OpenFaaS function for TTS - he needed to prompt it with the template name, and even then it got the handler format wrong. But it did show us a popular library in Python. To find the same with Google - we'd have to perhaps scan through 4-5 articles.
https://twitter.com/Julian_Riss/status/1641157076092108806?s...