Earlier quoted context omitted.
Open training dataset + open steps sufficient to train exactly the same model.
This isn't what Meta releases with their models, though I would like to see more public training data. However, I still don't think that would qualify as "open source". Something isn't open source just because its reproducible out of composable parts. If one, very critical and system defining part is a binary (or similar) without publicly available source code, then I don't think it can be said to be "open source". T…
Open source AI is the path forward
101–110 of 936 posts
Re: Open source AI is the path forward
#102It's a real shame that we're still calling Llama "open source" when at best it's "open weights." Not that anyone would go buy 100,000 H100s to train their own Llama, but words matter. Definitions matter.
Honest question. As far as LLMs are concerned, isn't open weights same as open source?
Re: Open source AI is the path forward
#103"Eventually though, open source Linux gained popularity – initially because it allowed developers to modify its code however they wanted ..." I find the language around "open source AI" to be confusing. With "open source" there's usually "source" to open, right? As in, there is human legible code that can be read and modified by the user? If so, then how can current ML models be open source? They're very large matric…
Ok call it Open Weights then if the dictionary definitions matter so much to you. The actual point that matters is that these models are available for most people to use for a lot of stuff, and this is way way better than what competitors like OpenAI offer.
Re: Open source AI is the path forward
#104Why do people keep mislabeling this as Open Source? The whole point of calling something Open Source is that the "magic sauce" of how to build something is publicly available, so I could built it myself if I have the means. But without the training data publicly available, could I train Llama 3.1 if I had the means? No wonder Zuckerberg doesn't start with defining what Open Source actually means, as then the blogpost would have lost all meaning from the get go.
Just call it "Open Model" or something. As it stands right now, the meaning of Open Source is being diluted by all these companies pretending to doing one thing, while actually doing something else.
I initially got very exciting seeing the title and the domain, but hopelessly sad after reading through the article and realizing they're still trying to pass their artifacts off as Open Source projects.
Re: Open source AI is the path forward
#105Earlier quoted context omitted.
> if Facebook were selling their AI advances instead of selling the output it produces, they wouldn't be advocating for everyone else to open source their stack You're acting as if commoditizing one's complements is either new or reprehensible [1]. [1] https://gwern.net/complement
>You're acting as if commoditizing one's complements is either new or reprehensible [1]. I'm acting as if calling on other companies to open source their core product, just because it's a complement for you, and acting as if it's for the benefit of mankind is disingenuous, which it is.
But it does benefit mankind.
More free tech products is good for the world.
This is a good thing. When people or companies do good things, they should get the credit for doing good things.
Re: Open source AI is the path forward
#106Earlier quoted context omitted.
Llama’s code is open source: https://github.com/meta-llama/llama3/blob/main/llama/model.p...
That is just the inference code. Not training code or evaluation code or whatever pre/post processing they do.
Re: Open source AI is the path forward
#107Earlier quoted context omitted.
the training data is the source.
> the training data is the source Sure. But that's not going to be released. The term open source AI cannot be expected to cover it because it's not practical.
Re: Open source AI is the path forward
#108It's a real shame that we're still calling Llama "open source" when at best it's "open weights." Not that anyone would go buy 100,000 H100s to train their own Llama, but words matter. Definitions matter.
Honest question. As far as LLMs are concerned, isn't open weights same as open source?
They're more like obfuscated binaries. When it comes to fine-tuning only however things shift a little bit, yes.
Re: Open source AI is the path forward
#109Earlier quoted context omitted.
> if Facebook were selling their AI advances instead of selling the output it produces, they wouldn't be advocating for everyone else to open source their stack You're acting as if commoditizing one's complements is either new or reprehensible [1]. [1] https://gwern.net/complement
>You're acting as if commoditizing one's complements is either new or reprehensible [1]. I'm acting as if calling on other companies to open source their core product, just because it's a complement for you, and acting as if it's for the benefit of mankind is disingenuous, which it is.
Is it bad for mankind that Meta publishes its weights? Mutually beneficial is a valid game state--there is no moral law that requires anything good be made as a sacrifice.
Re: Open source AI is the path forward
#110Earlier quoted context omitted.
Llama’s code is open source: https://github.com/meta-llama/llama3/blob/main/llama/model.p...
That's not the training code, just the inference code. The training code, running on thousands of high-end H100 servers, is surely much more complex. They also don't open-source the dataset, or the code they used for data scraping/filtering/etc.
It's not the "inference code", its the code that specifies the architecture of the model and loads the model. The "inference code" is mostly the model, and the model is not legible to a human reader.
Maybe someday open source models will be possible, but we will need much better interpretability tools so we can generate the source code from the model. In most software projects you write the source as a specification that is then used by the computer to implement the software, but in this case the process is reversed.