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Ferret: A Multimodal Large Language Model

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Re: Ferret: A Multimodal Large Language Model

#111

Earlier quoted context omitted.

I think you’re completely correct, but if they were caught off guard by the AI train, they shouldn’t be testing the waters now. It should be treated as an existential threat.

I've always wondered why Apple is never in the conversation of modern AI, like until now it almost feels like they've been just watching from the sidelines without taking part in all the commotion Maybe they can just afford to observe before making major decisions on the direction of the company... For a company like Apple, I feel like they won't lose their customer-base just because they are taking the AI race slowl…

I hit reply before I finished typing XD

... Anyways, my point being that Apple will gladly introduce a polished product a couple of years after everyone else has already done it, and their target audience will still applaud their work and give them money. Apple for some reason simply _can_ afford to test the water

Re: Ferret: A Multimodal Large Language Model

#112
post #34

Earlier quoted context omitted.

Released 2 days ago by Apple, a research paper on methods to run larger llms on iPhones. https://www.macrumors.com/2023/12/21/apple-ai-researchers-ru... https://arxiv.org/pdf/2312.11514.pdf

The paper was definitely cool but doesn't allow you to run particularly large LLMs on iPhones. It allows you to run a certain kind of LLM (sparse ReLU based LLMs) whose weights are somewhere less than 2x RAM. So, 7b Falcon works, but the competitive-with-gpt-3.5-turbo LLMs are still out of reach (and aren't ReLU based, although maybe that could change in the future). And nothing is competitive with GPT-4 right now. O…

Yea but it's likely to be better than the current iteration of Siri even in that state.

They can still outsource to a much larger LLMs on their servers for anything that can't be done locally like they do now.

Re: Ferret: A Multimodal Large Language Model

#113

> 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?

Lawyers.

Re: Ferret: A Multimodal Large Language Model

#114
>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 exciting as one might think from the title, in my opinion.

Re: Ferret: A Multimodal Large Language Model

#115
post #21

I really hope Apple releases an iPhone with a good on-device private LLM assistant, perhaps next year. Their hardware is well-positioned for it. It could make me get a new phone outside of my usual ~4 year cycle. Siri is almost unusable for me.

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.

It’s probably why autocomplete got drastically worse, to the point I’m considering turning it off entirely.

Most “AI” features are so incredibly fragile they’re not worth deploying.

Re: Ferret: A Multimodal Large Language Model

#118
post #21

I really hope Apple releases an iPhone with a good on-device private LLM assistant, perhaps next year. Their hardware is well-positioned for it. It could make me get a new phone outside of my usual ~4 year cycle. Siri is almost unusable for me.

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.

It's a GPT2 model. It hasn't changed the autocomplete experience that much (occasionally I'll see a word completion).

Re: Ferret: A Multimodal Large Language Model

#119

Earlier quoted context omitted.

The paper was definitely cool but doesn't allow you to run particularly large LLMs on iPhones. It allows you to run a certain kind of LLM (sparse ReLU based LLMs) whose weights are somewhere less than 2x RAM. So, 7b Falcon works, but the competitive-with-gpt-3.5-turbo LLMs are still out of reach (and aren't ReLU based, although maybe that could change in the future). And nothing is competitive with GPT-4 right now. O…

> And nothing is competitive with GPT-4 right now. You mean nothing available? Or you mean nothing that public knows exists? The answers to those two questions are different. There are definitely products that aren't available but the public knows exist and are upcoming that are in GPT-4's ballpark.

Easy to claim but harder to prove. Name one.

Re: Ferret: A Multimodal Large Language Model

#120

>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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