I'm blown away with just how open the Llama team at Meta is. It is nice to see that they are not only giving access to the models, but they at the same time are open about how they built them. I don't know how the future is going to go in the terms of models, but I sure am grateful that Meta has taken this position, and are pushing more openness.
Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
241–250 of 343 posts
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#242Earlier quoted context omitted.
> They have a hose of ad money and have nothing to lose doing this. If I didn’t have context I’d assume this was about Google.
But Google has everything to lose doing this. LLMs are a threat to their most viable revenue stream.
Just to nit pick... Advertising is their revenue stream. LLMs are a threat to search, which is what they offer people in exchange for ad views/clicks.
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#243Zuckerberg has never liked having Android/iOs as gatekeepers i.e. "platforms" for his apps. He's hoping to control AI as the next platform through which users interact with apps. Free AI is then fine if the surplus value created by not having a gatekeeper to his apps exceeds the cost of the free AI. That's the strategy. No values here - just strategy folks.
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#244I'm absolutely amazed at how capable the new 1B model is, considering it's just a 1.3GB download (for the Ollama GGUF version). I tried running a full codebase through it (since it can handle 128,000 tokens) and asking it to summarize the code - it did a surprisingly decent job, incomplete but still unbelievable for a model that tiny: https://gist.github.com/simonw/64c5f5b111fe473999144932bef42... More of my notes he…
If you are in US, you get 1 billion tokens a DAY with Gemini (Google) completely free of cost. Gemini Flash is fast with upto 4 million token context. Gemini Flash 002 improved in math and logical abilities surpassing Claude and Gpt 4o You can simply use Gemini Flash for Code Completion, git review tool and many more.
I'm pretty excited what all the services adopting free tiers is going to do to the landscape, as that should allow for a lot more experimentation and a lot more hobby projects transitioning into full-time projects, that previously felt a lot more risky/unpredictable with pricing.
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#245Earlier quoted context omitted.
If you are in US, you get 1 billion tokens a DAY with Gemini (Google) completely free of cost. Gemini Flash is fast with upto 4 million token context. Gemini Flash 002 improved in math and logical abilities surpassing Claude and Gpt 4o You can simply use Gemini Flash for Code Completion, git review tool and many more.
Is this sustainable though, or are they just trying really hard to attract users? If I build all of my tooling on it, will they start charging me thousands of dollars next year once the subsidies dry up? With a local model running with open source software, at least I can know that as long as my computer can still compute, the model will still run just as well and just as fast as it did on day 1, and cost the same am…
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#246Earlier quoted context omitted.
You're objectively correct but judging from your downvotes there seems to be some denial here about that! The atheism alone means it's different from a big chunk of the world's population, possibly the majority. Supposedly around 80% of the world's population identify with a religion though I guess you can debate how many people are truly devout. The good news is that the big AI labs seem to be slowly getting a grip…
You want the computer to believe in God?
We don’t want it to beat us into submission about one set of views it was aligned to prefer. That’s what ChatGPT was doing. In one conversation, it would even argue over and over in each paragraph not to believe the very points it was presenting. That’s not just unhelpful to us: it’s deceptive for them to do that after presenting it like it serves all our interests, not just one side’s.
It would be more honest if they added to its advertising or model card that it’s designed to promote far-left, Progressive, and godless views. That moral interpretations of those views are reinforced while others are watered down or punished by the training process. Then, people may or may not use those models depending on their own goals.
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#247Earlier quoted context omitted.
Is this sustainable though, or are they just trying really hard to attract users? If I build all of my tooling on it, will they start charging me thousands of dollars next year once the subsidies dry up? With a local model running with open source software, at least I can know that as long as my computer can still compute, the model will still run just as well and just as fast as it did on day 1, and cost the same am…
It's Google. You know the answer ;)
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#248Earlier quoted context omitted.
You don't need an F-15 to play at least, a decent sniper rifle will do. You can still practise even with a pellet gun. I'm running 70b models on my M2 max with 96 ram. Even larger models sort of work, although I haven't really put much time into anything above 70b.
With a 128Gb Mac, you can even run 405b at 1-bit quantization - it's large enough that even with the considerable quality drop that entails, it still appears to be smarter than 70b.
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#249Llama-3.2-11B-Vision-Instruct does an excellent job extracting/answering questions from screenshots. It is even able to answer questions based on information buried inside a flowchart. How is this even possible??
Because they trained the text model. Then froze the weights. Then trained a vision model on text image pairs of progressively higher quality. Then trained an adapter to align their latent spaces. So it became smart on text then gain a new input sense magically without changing its weights
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#250I'm blown away with just how open the Llama team at Meta is. It is nice to see that they are not only giving access to the models, but they at the same time are open about how they built them. I don't know how the future is going to go in the terms of models, but I sure am grateful that Meta has taken this position, and are pushing more openness.
Zuckerberg has never liked having Android/iOs as gatekeepers i.e. "platforms" for his apps. He's hoping to control AI as the next platform through which users interact with apps. Free AI is then fine if the surplus value created by not having a gatekeeper to his apps exceeds the cost of the free AI. That's the strategy. No values here - just strategy folks.