Prism ML
Prism ML on podcasts: where it advertises, what it's offering listeners, and what hosts say about it when they're not being paid.
Sponsorships
No ad reads on tracked podcasts in the last 30 days. Hosts are talking about it anyway — see the earned side.
What hosts are saying
Most mentioned on
In their words
“And for number three, I have Prism ML because they're figuring out how to shrink much larger models enough to run locally instead of constantly relying on somebody else's cloud.”
Prism ML is recommended as the third acquisition target because they figure out how to shrink models to run locally.
▶ Hear it“A team called Prism ML got it down to six. Same model. Just some sort of more efficiency.”
Prism ML is presented positively for achieving significant technical improvements in model efficiency, reducing memory requirements from 25 GB to 6 GB.
▶ Hear it“called uh Bonsai 2 came out on September 17th by Prism ML. This is actually a fork of Quen, which is another one of the Alibaba models. It's a 27 billion parameter model. 98% of the performance of the big Quen model... size and you can run it on a local computer.”
Bonsai 2 model is praised for high performance relative to size and the ability to run on local computers for free.
▶ Hear itThe full picture
A weekly email with where each one advertised and what hosts said about them. Free.