It's kind of like if the Django README explained how SQL works, the structure of HTTP requests, best practices for HTML, and so on. If you don't know what MLIR is, you might not be the target audience for this library. Nvidia in general doesn't prioritize developer experience as much as companies like Meta do for open source projects like React.
HTTP and HTML are very common acronyms; nobody should be getting out of high school these days without knowing them, and if they somehow managed to do so, they're darned sure not reading HN. Even SQL is pretty hard to avoid if you've been in an IT-adjacent industry for a while.
However, MLIR is a highly-specialized term. The problem with failing to define a term like that is that I don't know up front if I'm the target audience for the article. I had to Google it, and when I did that, all I found at first were yet more articles that failed to define it.
Wikipedia gets the job done, but these days, Wikipedia is often a long way down the Google search results list. I think they downranked it when they started force-feeding AI answers (which also didn't help).
Comments
That's the whole problem. I had to "R" multiple "FMs" before one of them bothered to define the acronym.
Stop carrying water for poor documentation practice.
It's kind of like if the Django README explained how SQL works, the structure of HTTP requests, best practices for HTML, and so on. If you don't know what MLIR is, you might not be the target audience for this library. Nvidia in general doesn't prioritize developer experience as much as companies like Meta do for open source projects like React.
HTTP and HTML are very common acronyms; nobody should be getting out of high school these days without knowing them, and if they somehow managed to do so, they're darned sure not reading HN. Even SQL is pretty hard to avoid if you've been in an IT-adjacent industry for a while.
However, MLIR is a highly-specialized term. The problem with failing to define a term like that is that I don't know up front if I'm the target audience for the article. I had to Google it, and when I did that, all I found at first were yet more articles that failed to define it.
Wikipedia gets the job done, but these days, Wikipedia is often a long way down the Google search results list. I think they downranked it when they started force-feeding AI answers (which also didn't help).
Use the AI prompt to pinprick learn.
Just say to the AI, "Explain THIS".
HN: "Learning is good"
Just say to the AI, "Explain THIS".
Also HN: "Not like that"
ChatGPT Told me MLIR stands for "Modern Life Is Rubbish"
YMMV