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
Which modern Mac are you talking about and how much does that cost? Again, I doubt any of the opensource 30B models can compete even with ChatGPT 3.5. Which is the point I started with earlier.
Seems to me like you are riding this whole efficiency thing on nothing more than hopium.
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.
A 30B model which will be fine for specialized tasks runs on a 3090 or any modern mac today.
We are months away from being affordable at current trajectory
Which modern Mac are you talking about and how much does that cost? Again, I doubt any of the opensource 30B models can compete even with ChatGPT 3.5. Which is the point I started with earlier.
Seems to me like you are riding this whole efficiency thing on nothing more than hopium.