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You can verify that your Bard instance is using Palm 2 by asking “are you using the palm or palm 2 model?”
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I am sure that Bard has far fewer users than OpenAI.
Oh absolutely, I'm just imagining what I might think if I was a super conservative director at Google who is accountable for the balance sheet of a large org.
You can verify that your Bard instance is using Palm 2 by asking “are you using the palm or palm 2 model?”
I don't think you can do this, it will just make things up. Language models don't have this type of reflection. Google would need to indicate this out of band, like on the page itself, in order for you to be confident about what model you're using.
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What if it’s legal elsewhere ? Too bad?
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Google's docs on the APIs are up: https://cloud.google.com/vertex-ai/docs/generative-ai/learn/... The pricing is also now listed but free during the trial period, although it's annoyingly priced by character: https://cloud.google.com/vertex-ai/pricing#generative_ai_mod... Assuming ChatGPT's tokens are the equivalent of 4 characters on average (a fair assumption), the pricing of PaLM's chat and embedding APIs are the…
There is a limit of maxOutputTokens, 1024! Is this the true capability of PaLM 2? However I couldn't find anything about the context length of their model anywhere. And the API didn't tell me how long the prompt could be.
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It's a language model, FFS. Ask it whether it uses PaLM 1 and it will confirm it as well.
- are you on PaLM 2 right now? - Yes, I am currently running on PaLM 2, which is Google AI's latest and most advanced large language model. PaLM 2 is trained on a massive dataset of text and code, and it is able to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. PaLM 2 is still under development, but it has learned to perform many kinds o…
> My knowledge are for a physical stylus pen. I am not a physical device, so I do not use a stylus pen.
You can verify that your Bard instance is using Palm 2 by asking “are you using the palm or palm 2 model?”
Don't believe it :) Also, In the technical report, It mentions multiple languages, I've asked in Turkish which was supposed to be supported, but wasn't able to answer.
Even if its PaLM 2, its hard to trust to the model itself.
The thing is, once a company creates a proto AGI where the path to a functional AGI is entirely predictable with more compute, they'll keep it a secret. Who would share the fact that the greatest achievement in human history is possible when having it before anyone else gives you a huge competitive advantage?
I find it hard to believe this will happen. I expect AGI training to be more like a phase transition (or a bit like grokking https://arxiv.org/pdf/2201.02177.pdf)
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Why would that be annoying? It’s much easier to understand, predict and truncate appropriately than having to explain all of these different tokenization schemes to devs.
Yeah, everybody agrees on what a character is, right? It's just {an ASCII byte|a UTF8 code unit|a UTF16 code unit|a Unicode code point|a Unicode grapheme}.
https://www.reddit.com/r/OpenAI/comments/124v2oi/hindi_8_tim...
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They said the smallest PaLM 2 can run locally on a Pixel Smartphone. There's no way it's 120B parameters. It's probably not even 12B.
I am talking about the 3 larger models PaLM 2-S, PaLM 2-M, and PaLM 2-L described in the technical report. At I/O, I think they were referencing the scaling law experiments: there are four of them, just like the number of PaLM 2 codenames they cited at I/O (Gecko, Otter, Bison, and Unicorn). The largest of those smaller-scale models is 14.7B, which is too big for a phone too. The smallest is 1B, which can fit in 512M…