I’ve been using Google’s Gemini and it’s pretty good at interpreting fucked up or imperfect smart commands. For example we have some lights named “Chrimas Lights” and it will turn those on and off by referring to them as Christmas lights. It can also do multiple commands in a row without being overly explicit. So you can say “set lights to x%, make them yellow, and turn them off in an hour and set my TV to volume x” and it’ll do it no problem. The old assistant could not do anything even close to this.
It’s also much faster and processes words as fast if not faster than a human can. From finishing a command to the command being executed seems to be about 1/10th of a second which makes me wonder if it’s doing any sort of inferencing on the back end. It’s one of the best LLM integrations I’ve seen so far.
Virtual Assistants that can parse a command even if it has a long uhhhhh in the middle of it.
Or if you correct yourself in it!
I’ve been using Google’s Gemini and it’s pretty good at interpreting fucked up or imperfect smart commands. For example we have some lights named “Chrimas Lights” and it will turn those on and off by referring to them as Christmas lights. It can also do multiple commands in a row without being overly explicit. So you can say “set lights to x%, make them yellow, and turn them off in an hour and set my TV to volume x” and it’ll do it no problem. The old assistant could not do anything even close to this.
It’s also much faster and processes words as fast if not faster than a human can. From finishing a command to the command being executed seems to be about 1/10th of a second which makes me wonder if it’s doing any sort of inferencing on the back end. It’s one of the best LLM integrations I’ve seen so far.