If you can generate code from the grammar then what exactly are you RLing? The point was to generate code in the first place so what does backpropagation get you here?
Why would I do that? If you know something then quote the relevant passage & equation that says you can train code generators w/ RL on a novel language w/ little to no code to train on. More generally, don't ask random people on the internet to do work for you for free.
Your other comment sounded like you were interested in learning about how AI labs are applying RL to improve programming capability. If so, the DeepSeek R1 paper is a good introduction to the topic (maybe a bit out of date at this point, but very approachable). RL training works fine for low resource languages as long as you have tooling to verify outputs and enough compute to throw at the problem.
I guess the op was implying that is something fixable fairly easily?
(Which is true - it's easy to prompt your LLM with the language grammar, have it generate code and then RL on that)
Easy in the sense of "it is only having enough GPUs to RL a coding capable LLM" anyway.
If you can generate code from the grammar then what exactly are you RLing? The point was to generate code in the first place so what does backpropagation get you here?
Post RL you won't need to put the grammar in the prompt anymore.
Go read the DeepSeek R1 paper
Why would I do that? If you know something then quote the relevant passage & equation that says you can train code generators w/ RL on a novel language w/ little to no code to train on. More generally, don't ask random people on the internet to do work for you for free.
Your other comment sounded like you were interested in learning about how AI labs are applying RL to improve programming capability. If so, the DeepSeek R1 paper is a good introduction to the topic (maybe a bit out of date at this point, but very approachable). RL training works fine for low resource languages as long as you have tooling to verify outputs and enough compute to throw at the problem.
not even wrong
Exactly.