291–300 of 332 posts
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You're unlikely to get a better experience with Siri if she becomes equipped with a 7B or 13B LLM, unless Apple figured out something revolutionary.
Have you ever actually used Siri?
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I think your expectations are wrong. They sit there in silence with a few leaks here and there and some github projects, people speculate and get all excited about extrapolating those things. Then Apple deliver what works which may or may not be related to it. What they don't do is sell you a lie a year before release then deliver shit (like every other fucking vendor).
> What they don't do is sell you a lie a year before release then deliver shit (like every other fucking vendor). If you're referring to Google, then you're right. But OpenAI has consistently delivered what they announced pretty quickly. Same with Microsoft. To think that Apple somehow has a secret sauce that helps them surprise everyone is an illusion. They've had 3 years now to show their interest in LLMs, but they…
I mean they do truly useful stuff already using ML just not LLMs
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Absolutely! The hardware, that is. With software, their Come to Jesus moment is still in the future. (To me, Swift is sort of the Jony correlate on the software side. Doesn't fit perfectly, of course, but very similar "we are perfect who cares about evidence la la la I can't hear you" vibes and results)
Yes, they have treated macOS like a toy. It's time they made it a real OS.
>Ferret: A Multimodal Large Language Model What I thought when reading the title: A new base model trained from the ground up on multimodal input, on hundreds to thousands of GPUS The reality: A finetune of Vicuna, trained on 8xA100, which already is a finetune of Llama 13b. Then it further goes on to re-use some parts of LLava, which is an existing multimodal project already built upon Vicuna. It's not really as exc…
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With iOS 17 they added a tiny little LLM to the predictive typing. I have the newest and greatest iPhone but I feel that I very rarely see it in action. I must assume that it’s just too slow at to keep up with my typing at the moment. Or it’s just not large enough to give very many useful suggestions.
Is tiny LLM an oxymoron? I believe Apple has told us it’s a transformer language model, but not specifically a LLM.
> Usage and License Notices: The data, and code is intended and licensed for research use only. They are also restricted to uses that follow the license agreement of LLaMA, Vicuna and GPT-4. The dataset is CC BY NC 4.0 (allowing only non-commercial use) and models trained using the dataset should not be used outside of research purposes. Wait, how did "GPT-4" get in there?
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I guess they also have Samsung fridges in the offices..
And they use CAD software running on Windows (it simply doesn't exist on MacOS)
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What's the "literally" here? Try: They mention that they built on top of llava, which was released half a year ago.
In this context “literally” is being used to draw attention to the perceived obviousness of the information. Essentially saying “how could you not see this?”
It's actually funny because you answered a false question (potentially on purpose). Like:
"What the hell are you doing?!?" "Well Im stealing your car, obviously."