101–110 of 1001 posts
Interesting that they're announcing Ultra many months in advance of the actual public release. Isn't that just giving OpenAI a timeline for when they need to release GPT5? Google aren't going to gain much market share from a model competitive with GPT4 if GPT5 is already available.
Do we know on what type of hardware was it trained? Google's own or Nvidia?
Feels more like an Apple post "the best fastest blabla-est". How about making it available to try without the fluff?
it's really amazing how in IT we always recycle the same ten names... in the last three years, "gemini" refers (at least) to: - gemini protocol, the smolnet companion (gemini://geminiprotocol.net/ - https://geminiprotocol.net/ ) - gemini somethingcoin somethingcrypto (I will never link it) - gemini google's ML/AI (here we are)
Naming things is one of the two hardest problems in computer science, after all.
They've reported surpassing GPT4 on several benchmarks. Does anyone know of these are hand picked examples or is this the new SOTA?
Do we know on what type of hardware was it trained? Google's own or Nvidia?
https://blog.google/technology/ai/google-gemini-ai/#scalable...
Do we know on what type of hardware was it trained? Google's own or Nvidia?
the real question... pronounced Gemin-eye or Gemin-ee?
So, better than GPT4 according to the benchmarks? Looks very interesting. Technical paper: https://goo.gle/GeminiPaper Some details: - 32k context length - efficient attention mechanisms (for e.g. multi-query attention (Shazeer, 2019)) - audio input via Universal Speech Model (USM) (Zhang et al., 2023) features - no audio output? (Figure 2) - visual encoding of Gemini models is inspired by our own foundational work o…
That's for Ultra right? Which is an amazing accomplishment, but it sounds like I won't be able to access it for months. If I'm lucky.
Ultra is out sometime next year, with GPT-4 level capability.
Pro is out now (?) with ??? level capability.