this post was submitted on 26 Aug 2024
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GrapheneOS now officially supports Pixel 9, 9 Pro, and 9 Pro XL (9to5google.com)
submitted 2 months ago by BookSwiftieAndrew@kbin.earth to c/android@lemdro.id
63 comments fedilink hide all child comments
 

The super privacy-focused third-party ROM, GrapheneOS now officially supports the Google Pixel 9, 9 Pro, and 9 Pro XL.

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[–] helenslunch@feddit.nl 0 points 2 months ago (2 children)

Did you even look at that? Your own link disproves your claim. It's just a general AI model that powers a variety of tasks, and is integrated into apps.

[–] possiblylinux127@lemmy.zip 1 points 2 months ago (1 children)

What else would it be except an llm? What do you think model means?

[–] helenslunch@feddit.nl 0 points 2 months ago (1 children)

...what do you think LLM means?

[–] possiblylinux127@lemmy.zip 1 points 2 months ago (1 children)

Large language model

[–] helenslunch@feddit.nl 0 points 2 months ago (1 children)

Large language model.

You are aware AI is used for more than just reading and generating text?

[–] evo@sh.itjust.works 0 points 2 months ago* (last edited 2 months ago) (1 children)

You are aware that those are often called LMMs, Large Multimodal Model. And one of the modes that makes it multi-modal is Language. All LMMs are or contain an LLM.

[–] helenslunch@feddit.nl 1 points 2 months ago* (last edited 2 months ago) (1 children)

LLMs are not called LMMs, they're called LLMs LOL

But thank you for moving the goalposts and making it clear you don't know what you're talking about and have no interest in an honest discussion. Goodbye.

[–] possiblylinux127@lemmy.zip 1 points 2 months ago (1 children)

https://github.com/haotian-liu/LLaVA

I don't think Google actually uses LLava but the concept is the same. The data gets converted into text for the model to process.

[–] helenslunch@feddit.nl 0 points 2 months ago (1 children)

How do you convert text to images?

[–] possiblylinux127@lemmy.zip 1 points 2 months ago* (last edited 2 months ago)

Its complicated and far over my head mathematically.

https://arxiv.org/abs/2304.08485

Instruction tuning large language models (LLMs) using machine-generated instruction-following data has improved zero-shot capabilities on new tasks, but the idea is less explored in the multimodal field. In this paper, we present the first attempt to use language-only GPT-4 to generate multimodal language-image instruction-following data. By instruction tuning on such generated data, we introduce LLaVA: Large Language and Vision Assistant, an end-to-end trained large multimodal model that connects a vision encoder and LLM for general-purpose visual and language understanding.Our early experiments show that LLaVA demonstrates impressive multimodel chat abilities, sometimes exhibiting the behaviors of multimodal GPT-4 on unseen images/instructions, and yields a 85.1% relative score compared with GPT-4 on a synthetic multimodal instruction-following dataset. When fine-tuned on Science QA, the synergy of LLaVA and GPT-4 achieves a new state-of-the-art accuracy of 92.53%. We make GPT-4 generated visual instruction tuning data, our model and code base publicly available.

This paper is a few years old but it is the basics. The newer llava is based on open models.

[–] evo@sh.itjust.works 0 points 2 months ago (1 children)

When are you going to admit you have no idea what you are talking about?

An LLM literally is a "general AI model that powers a variety of tasks".

[–] helenslunch@feddit.nl 0 points 2 months ago (1 children)

When are you going to admit you have no idea what you are talking about?

An LLM literally is not a "general AI model", it's a Large Language Model, as in it processes language.

[–] evo@sh.itjust.works 1 points 2 months ago* (last edited 2 months ago) (1 children)

I'm going to be honest, I actually know a lot more than I can say on this matter. But believe me Gemini Nano is a multimodal LLM.

I spoke to Google engineers about this a few months ago:

[–] helenslunch@feddit.nl 0 points 2 months ago

I wasn't calling you a liar. Just misinformed. I also watched Google I/O on YouTube.