|
|
|
|
|
by npodbielski
454 days ago
|
|
Hi, interesting article. Since I am not in the AI industry, I think I do not understand few things: - what is RL? Research Language? - does it mean that in essence AI companies will switch to writing enterprise software using LLMs integrated with enterprise tools? [EDIT]
Seems like you can even ask a question on HN because 'how dare you not know something?' and gonna be downvoted. |
|
* RL is Reinforcement Learning. Already used for a while as part of RLHF but now we have started to find a very nice combo of reasoning+RL on verifiable tasks. Core idea is that models are not just good a predicting the next token but the next right answer.
* I think anything infra with already some ML bundled is especially up for grabs but this will have a more transformative impact than your usual SaaS. Network engineering is a good example: highly formalized but also highly complex. RL models could increasingly nail that.