How well can LLMs write COBOL?

Post by johnisgood » Mon, Apr 01, 2024, 4:07 PM UTC

skissane wrote: post #30

danenania wrote: post #21

This looks interesting. I'm working on an OpenAI-based tool for coding tasks that are too complex for ChatGPT - https://github.com/plandex-ai/plandex It's working quite well for me, but it definitely needs some time spent on benchmarking and ironing out edge cases. I'm especially curious how it will do on more "obscure" languages. Not that Cobol is obscure exactly--I suppose there's probably quite a bit of it in GPT-…

> Not that Cobol is obscure exactly--I suppose there's probably quite a bit of it in GPT-4's training considering how pervasive it is in some domains There is a huge amount of COBOL code in existence – but, almost all of it is non-public code used to run business and governments. Very little of it is publicly source-available (whether open source or something more restrictive than that) Unless GPT-4's training data i…

Post by SonOfLilit » Wed, Apr 03, 2024, 5:18 PM UTC

brailsafe wrote: post #56

SonOfLilit wrote: post #53

Earlier quoted context omitted.

Look, nobody is going to perform as well on complicated programming talks using cobol as with python. But knowing everything you said, I was amazed at how good it was. Try it. Also, nobody needs to do complicated coffee talks with cobol, it wasn't meant for it. What we do need a lot of is translating cobol to python or Java.

Are you hiring for it? I don't know COBOL, but do know python and Java to some extent, and enjoy esoteric legacy problems