This might be a stupid question, but how is this different from cross compilers? Is it more natural and readable?
Something I found is that LLM struggle with weirder cases, when it comes to code.
I once tried getting ChatGPT (though admittedly only 3.5) to ~~generate code in~~ understand SaHuTOrEPoL, which is one of the more esoteric languages I created, and it really struggled with it.
I don't think the LLM is gonna do that great of a job with it for this reason, but still worth giving a shot. ChatGPT is a well trained coding chimp. You realistically could get a well trained chimp to start off a lot of projects and have people finish it. The fact that it can correct itself after you explain how it's wrong is very powerful as well.
LLM isn't gonna be useful for converting a single program from COBOL to Java, it is gonna be useful for converting many programs from COBOL to Java. I bet IBM is trying this on their own shit first before they try to sell it to customers, because language conversion software would be a HUGE but very boom based money.
This is the official technology community of Lemmy.ml for all news related to creation and use of technology, and to facilitate civil, meaningful discussion around it.
Ask in DM before posting product reviews or ads. All such posts otherwise are subject to removal.
Rules:
1: All Lemmy rules apply
2: Do not post low effort posts
3: NEVER post naziped*gore stuff
4: Always post article URLs or their archived version URLs as sources, NOT screenshots. Help the blind users.
5: personal rants of Big Tech CEOs like Elon Musk are unwelcome (does not include posts about their companies affecting wide range of people)
6: no advertisement posts unless verified as legitimate and non-exploitative/non-consumerist
7: crypto related posts, unless essential, are disallowed