two_in_one

40 ms·

1. 271.▲
   by two_in_one 4y ago

   I think incremental training should be possible. When next model is much smaller and as an input takes latent state from the bigger model. Then training will be faster, those smaller models can be chained. Another option is to have small re
2. 272.▲
   by two_in_one 4y ago

   The big question here is what's next? So far my coding experiments with GPT-4 shows it's a shallow thinker. It has ready answers for many questions. One step further and it fails miserably. Much better but not a full replacement
3. 273.▲
   by two_in_one 4y ago

   "public benefit".. Ah, they are so good. May be they will _open_ something after all.. ;)
4. 274.▲
   by two_in_one 4y ago

   >This breakthrough saved the researchers over $500,000 and 20,000 hours of human labor. BTW, this is interesting. There is a lot of noise about AI carbon footprint. Now imagine how much humans would eat and fart for 20.000 work hours. It
5. 275.▲
   by two_in_one 4y ago

   Not exactly. Gov had to be selective because its surveillance required a lot of resources per person/call. New technology allows it cheap and en mass. Voice calls can be recorded, then converted to text, then filtered. And humans will
6. 276.▲
   by two_in_one 4y ago

   Unified, layered architecture. Good luck with that. They will have hard time convincing anyone to implement their interfaces. Which means they will have to do all modules themselves. Somehow I don't believe in this idea...