I speak from knowledge and experience. What do you bring to the table?
More wake words to listen to more battery drain. Fact.
1 trained class = 1 model
100 trained classes = 1 model
Tell me how running 1 model would drain more battery than running 1 model? I’ll wait…
You have ZERO context then. Completely useless .
The person said “NIKE” a few times, show them ads for shoes. The person said “mechanic” “car” “fixed” around the same time, show them ads for local car repair shops.
You don’t need the full context of what was said to get some context from just the words. The spacing in time and the revelations relationship between words can give you a whole lot of context. Plenty to target ads.
Now, either come back with something real, or go away and conceed you’re out of your depth.
No you are wrong. Seems your making things up on the go. More wake words to listen to more battery drain. Fact.
But sure lets play. Now that you used your “wake word counter” what use would that have ? You have ZERO context then. Completely useless .
Lol. “Nuh-uh” doesn’t work with me.
https://stackoverflow.com/questions/64008486/effects-of-number-of-classes-on-inference-time-in-object-detection-api
I speak from knowledge and experience. What do you bring to the table?
1 trained class = 1 model
100 trained classes = 1 model
Tell me how running 1 model would drain more battery than running 1 model? I’ll wait…
The person said “NIKE” a few times, show them ads for shoes. The person said “mechanic” “car” “fixed” around the same time, show them ads for local car repair shops.
You don’t need the full context of what was said to get some context from just the words. The spacing in time and the revelations relationship between words can give you a whole lot of context. Plenty to target ads.
Now, either come back with something real, or go away and conceed you’re out of your depth.