That's what happens when people aren't familiar with fields other than their own. ML people famously re-invented statistical terminology, and used the wrong terms when they did exist. For example, they call inference "learning" and prediction "inference".

https://insights.sei.cmu.edu/blog/translating-between-statis...

They also recycled their own terms: generative models went from being another name for good old joint distributions (more of that terminology re-invention) to being, well, something that a human might associate with generation. Except by that point they had decided to change their field's name too, so we've ended up with "generative AI"!!

Usually when people just write "lora" or "lora", it's hard to know the difference indeed.

But if someone writes "lora fine-tuning", isn't it already pretty clear what they are talking about?

I tried to google this but it's pretty difficult, can you explain the difference between LoRa and LoRA?

I, too, clicked through thinking this was about LoRaWAN (despite context clues)

Even without capitalization differences, acronym collisions between different domains are common, and this particular pair is usually easily resolved by context, though maybe not always in headlines.