Flenkno

4 ms·

1. 1.▲
   by Flenkno 2y ago

   Accurate enough for it to explain to me details of 101, 201 and 301 university courses in math or physics. Besides, when i ask it about things like SRE, Cloud etc. its a very good starting point.
2. 2.▲
   by Flenkno 2y ago

   yes
3. 3.▲
   by Flenkno 2y ago

   when i tried studying, i got really frustrated because i had to search for so many things and not a lot of people would explain basic math things to me in a simple way. LLMs do already a lot better job at this. A lot faster, accurate enough
4. 4.▲
   by Flenkno 2y ago

   Nvidia has a unique problem, wants to move fast and has a shit load of money. No need for Nvidia to go first to an industry standard and neither for AMD. Personally would be great its getting backported but its so far away from an normal us
5. 5.▲
   by Flenkno 2y ago

   You are comparing a machine the size of a container with GPUs? its nice to be aware of this but this is so fastly different from a critisism point of view that i don't think that matters.
6. 6.▲
   by Flenkno 2y ago

   I'm pretty sure i saw a video from Nvidia research using generated environments for training robots etc. Can't find it quickly though. Nvidias Omniverse is one of the core things though
7. 7.▲
   by Flenkno 2y ago

   AWS announced 2 or 3 weeks a way of formulating rules into a formal language. AI doesn't need to learn everything, our LLM Models already contain EVERYTHING. Including ways of how to find a solution step by step. Which means, you can t