Kurzer wrote: Fri Sep 01, 2023 12:37 pm
Kiffi wrote: Fri Sep 01, 2023 11:13 am
erm... Mount Everest is 29029
metres high?
AI's are just immensely complex If - Then - Else machines. And there was probably the appropriate "If" missing, that answers the question, which unit of measurement is used in the country of the questioner.
The used AI model covers "only" approx. 4 GB of data (corresponds approximately to the data quantity of 3 films in HD). It is nevertheless amazing that there are so many answers to so many more questions. Bit it is actually clear that not all answers correspond to reality.
It's IF..ELSE if data scientists designed a programming language and everyone had months or years to organize large collections of data..
In another thread someone asked why there isn't a lot of A.I. discussion here. I pointed out literally every software neural network architecture requires large data sets, and tools and people to test and optimize the data... Even a single-layer perception network if you want it to actually do anything...
The reason you don't see anything really ground breaking in FOSS AI/ML is because the data requirement; Pytorch is awesome, but what are people doing with it publicly more that primitive and specific functions? It took me six-months of optimizing gigabytes of data I got with selenium to get a LSTM remotely reliable, and I could of got the same results just using calculus to log derivatives and standard deviation and limits on stats; this is why everything critical still uses old predictive analytics and game theory math(mostly basic calculus and linear algebra) against raw data..
Case in point: Personal finance payback optimization: Around a year with AI/ML and a big team using a RNN model vs. one coder and a couple days using basic math and programming... I actually did this and it only takes some CSV files from banks and financiers that take minutes to get..