The output of an algorithm is not a human authored creative work, which given the recent decision in the book case would seem to weigh against it.
LLaMA: A foundational, 65B-parameter large language model
41–50 of 209 posts
Re: LLaMA: A foundational, 65B-parameter large language model
#42Re: LLaMA: A foundational, 65B-parameter large language model
#43I was surprised to see this citation in the linked paper > Alan M Turing. 2009. Computing machinery and intelligence Did he invent a time machine too?
Re: LLaMA: A foundational, 65B-parameter large language model
#44Quick notes from first glance at paper https://research.facebook.com/publications/llama-open-and-ef... : * All variants were trained on 1T - 1.4T tokens; which is a good compared to their sizes based on the Chinchilla-metric. Code is 4.5% of the training data (similar to others). [Table 2] * They note the GPU hours as 82,432 (7B model) to 1,022,362 (65B model). [Table 15] GPU hour rates will vary, but let's give a ra…
Re: LLaMA: A foundational, 65B-parameter large language model
#45>'We release all our models to the research community' Where release means you fill out a form and wait indefinitely. Also no use for commercial purposes - which means 95% of users are out - certainly doesn't democratize LLMs.
"We'll let you see it if we approve you" is just being a self-important pompous middle man.
Re: LLaMA: A foundational, 65B-parameter large language model
#46Earlier quoted context omitted.
Which kind of suggests Microsoft made a really bad move antagonizing the open-source community with Gtihub Copilot. They got a few years of lead time in the "AI codes for you" market, but in exchange permanently soured a significant fraction of their potential userbase who will turn to open-source alternatives soon anyway. I wonder if they'd have been better served focusing on selling Azure usage and released Copilot…
How did Microsoft sour developers with Copilot? I know dozens of people that pay for it (including myself) and I feel like it is widely regarded as a "no brainer" for the price that it's offered at. Please help me understand!
I’d bet that more than 95% of devs haven’t even heard of this “controversy” and even if they did, wouldn’t care.
Re: LLaMA: A foundational, 65B-parameter large language model
#47Earlier quoted context omitted.
I don't see such grand stratagems as being a likely explanation. It seems more likely that a bunch of dorks are running around unsupervised trying their best to make lemonade with whatever budgets they are given as nobody can realistically manage AI researches. Or at least, it seems that much like in political governance, events are suddenly outpacing the ability of corporate to react. In the case of OpenAI it is a "…
> It seems more likely that a bunch of dorks are running around unsupervised trying their best to make lemonade with whatever budgets they are given Probably not, Zuck is announcing it.
Today we're releasing a new state-of-the-art AI large language model called LLaMA designed to help researchers advance their work. LLMs have shown a lot of promise in generating text, having conversations, summarizing written material, and more complicated tasks like solving math theorems or predicting protein structures. Meta is committed to this open model of research and we'll make our new model available to the AI research community.
I don't know what that means or if he even wrote/read it tbh. I hope it literally just means Meta is actually committed to this open model of research (for now).Maybe he is being a Machiavellian moat filler, I stand corrected. I think/hope that they don't really have a plan to counter OpenAI yet because I am afraid this attitude won't last once they do and this stuff has recently started moving quickly.
Re: LLaMA: A foundational, 65B-parameter large language model
#48Earlier quoted context omitted.
> We release all our models to the research community. This is yet more evidence for the "AI isn't a competitive advantage" thesis. State-of-the-Art is a public resource, so competing with AI offers no "moat".
In terms of medieval warfare, what Facebook is doing here looks like filling the moat with rocks and dirt. OpenAI is worth billions, Microsoft is spending billions to retrofit most of their big offerings with AI, Google is doubtless also spending billions to integrate AI in their products. Their moat in all cases is “a blob of X billion weights trained on Y trillion tokens”. Facebook here is spending mere _millions_…
Re: LLaMA: A foundational, 65B-parameter large language model
#49Earlier quoted context omitted.
How did Microsoft sour developers with Copilot? I know dozens of people that pay for it (including myself) and I feel like it is widely regarded as a "no brainer" for the price that it's offered at. Please help me understand!
The company that tried to kill Linux in the 90s, owned by the world's most famously rich man, is now stealing my code and selling it back to me? Yeah, fuck that.