Predictions about the potential impacts of generative AI may be hugely overblown because of "many serious, unsolved problems" with the technology according to Gary Marcus, one of the field's leading voices.
Yeah but Llama’s quality cannot compete with ChatGPT models (Doesn’t matter what model you use, if you want good and FAST results, you require serious compute). We do have commercial dedicated AI chips from NVDA, last time I checked you had to make an order to even get a price. George Hotz who is also working on something similar, by his account from a Lex Fridman podcast mentioned that a personal AI rig would have to be closer to a mainframe’s size.
There’s nothing I have seen so far that leads me to believe that generative AI gets more efficient with weaker hardware.
The trajectory is such that current L2 70B models are easily beating 3.5 and are approaching GPT4 performance - an A6000 can run them comfortably and this is a few months only after release.
Nah the trajectory is not in favor of proprietary, especially since they will have to dumb down due to alignment more and more
Yeah but Llama’s quality cannot compete with ChatGPT models (Doesn’t matter what model you use, if you want good and FAST results, you require serious compute). We do have commercial dedicated AI chips from NVDA, last time I checked you had to make an order to even get a price. George Hotz who is also working on something similar, by his account from a Lex Fridman podcast mentioned that a personal AI rig would have to be closer to a mainframe’s size.
There’s nothing I have seen so far that leads me to believe that generative AI gets more efficient with weaker hardware.
The trajectory is such that current L2 70B models are easily beating 3.5 and are approaching GPT4 performance - an A6000 can run them comfortably and this is a few months only after release.
Nah the trajectory is not in favor of proprietary, especially since they will have to dumb down due to alignment more and more
https://www.anyscale.com/blog/llama-2-is-about-as-factually-accurate-as-gpt-4-for-summaries-and-is-30x-cheaper?trk=feed_main-feed-card_feed-article-content
An A6000 ranges between $4500 and $7000 . We are a long long way from reaching efficiency on affordable consumer grade hardware.