autokad
Joined 12 years ago
Joined 12 years ago
I found the most anomalous response was as good (15/20) or better (5/20) than the temperature 0 response in 20 samples.
AND if you ask them, they don't do it to prevent others from getting sick (not that that works unless you are gasping air through an n95), but they do it to protect themselves. This is especially true in China where there is also air pollution to consider.
I am going to say things to other people and that is going to make them upset, that is ok. They are going to say things that make me upset, that is ok.
Someone is going to give me a cold, flu, etc. and that is ok. They didn't have to do it, they could have stayed inside for weeks until they were sure they were not sick, but who wants to live that way?
There is a level of harm in anything that that a living thing does.
There were issues an embedding model might not do well on where as the LLM could handle. for example: These were camel case words, like WoodPecker, AquafinaBottle, and WoodStock (I changed the words to not reveal private data). WoodPecker and WoodStock would end up with close embedding values because the word Wood dominated the embedding values, but these were supposed to go into 2 different categories.
and it is in fact zero sum. every spot filled in university or company is a spot not taken by a local, as its obvious by the numbers, more local people are not getting admitted into CS programs nor are they being hired. its 100% zero sum when we are looking at these numbers and %s.