| LLM are the first interface I as.a.software engineer is impressed by. My company also got it immediately and is rolling it out globally. GitHub copilot is already helpful. GitHub copilot for docs (announced at GitHub next) is a game changer. I used openai to reformulate emails and suddenly got positive feedback about my announcement emails. I communicate with openai German and English how ever I see fit. It's very hard NOT to see it than the other way around. And we got so far with only one company pushing this! There is no option for the others to alsolo out tons of money into ai. And besides openai, ai/ml is huge in what Nvidia and others are doing with it. Texture compression, 2d and 3d generation. What we see is also potentially something like a new operating system. And it makes it so much more accessible. I never had a tool like llms which are able to take a bad copy pasta of a pdf and pulling out facts from it. |
I did not foresee that you could mix input languages. That’s fascinating. Multilingual people use languages for different purposes, often in the same sentence. Ie: technical jargon in English, a joke in Arabic, etc.
I expect the difference in connotation/feeling/mood to be less relevant for an LLM, if you’re working with facts. But there was a recent post showing LLMs performing better when you said you were stressed/scared. Did you notice any such differences for your multi-lingual inputs?