

Actually, as to your edit, the it sounds like you’re fine-tuning the model for your data, not training it from scratch. So the llm has seen english and chinese before during the initial training. Also, they represent words as vectors and what usually happens is that similiar words’ vectors are close together. So subtituting e.g. Dad for Papa looks almost the same to an llm. Same across languages. But that’s not understanding, that’s behavior that way simpler models also have.
A proper (CNC) milling machine and lathe, like ones you can work hardened steel with. Lots of better things you could buy for that money, but with a mill and lathe i could make those things for even more money!
Edit: oh and a proper garage/hobby room to put them in