Llama 2, every mention
7 scenes, the whole family · ← back to Llama 2
tap a year for its mentions
every year anyone Burkay Gur 2Bob Swan 2Arthur Mensch 2Andrew Bosworth 2Sarah Wang 1
Verbatim, from the transcripts: the passages where Llama 2 comes up
The Future of AI Video: How Fal.ai is Making AI Video Faster & Easier
- ▶ 10:20 Burkay Gur The point when it kind of clicked for us was actually, I think LAMA-II was a pretty, pretty big turning point. 2 times in the scene
What Comes After Mobile? Meta’s Andrew Bosworth on AI and Consumer Tech
- ▶ 25:49 Andrew Bosworth Um, LAMA II was probably the big decision point for us. 2 times in the scene
Safety in Numbers: Keeping AI Open
- ▶ 11:38 Arthur Mensch And the other way to think about it is that if, uh, you want to use a model which is as good as Lama-to-seven TB, you should be using Mixtral because Mixtral is actually, uh, on par with Lama-to-seven TB while being approximately six times… 2 times in the scene
Universally Accessible Intelligence with Character.ai's Noam Shazeer
- ▶ 11:35 Sarah Wang Advancements on the open source model side, and, um, you know, maybe folks building a product on top of a fine-tuned Llama II, you know, fine-tuned for chat.
AI Copilots and the Future of Knowledge Work with Microsoft's Kevin Scott
The True Cost of Compute
- ▶ 14:44 unnamed speaker A quick note to close out that many models today are even bigger, with Llama II, for example, being trained on two trillion tokens, or about eight trillion characters.
Chasing Silicon: The Race for GPUs
- ▶ 16:49 unnamed speaker It's worth noting that since this recording, several more open source models have been released, including Llama-II with seventy billion parameters and an open license. 3 times in the scene