"Open" AI, a charity to benefit us all by pushing and publishing the frontier of scientific knowledge. Nevermind, fuckers, actually it's just to take your jobs and make a few VCs richer. We'll keep the science a secret and try to pressure the government into making it illegal for you to compete with us. https://github.com/ggerganov/llama.cpp https://github.com/openlm-research/open_llama https://huggingface.co/TheBlok…
Unfortunately I've found the current OSS models to be vastly inferior to the OpenAI models. Would love to see someone actually get close to what they can do with GPT-3.5/4, except capable of running on commodity GPUs. What's the most impressive open model so far?
GPT-4 details leaked?
441–450 of 648 posts
Re: GPT-4 details leaked?
#442Earlier quoted context omitted.
How low can you get the memory and computational power requirements that way?
You can run that model (Wizard-30) on a computer with 64 gigabytes of RAM (or smaller, I don't know how tight you can cut it). You obviously want fast RAM and a good CPU, but you don't need a GPU.
Re: GPT-4 details leaked?
#443Earlier quoted context omitted.
> We'll keep the science a secret and try to pressure the government into making it illegal for you to compete with us. This is essentially the Capitalist Credo, expressed in practical vs theoretical terms.
> pressure the government into making it Not really, Capitalism is free-trade between two parties. The more government involvement you have the more it moves towards socialism or communism where the government controls trade. At least this was the historical meaning. These days Capitalism is being redefined to mean private (non-government) Communism. That is, power concentrated in the hands of a few.
But if you don't have the time for that, just read the intro paragraph.
Re: GPT-4 details leaked?
#444Earlier quoted context omitted.
Call it 100 million college-educated Americans. I don’t think 100,000 people can formulate working quantum computing algorithms in ten seconds. It is probably closer to 0.001%, but those people probably can’t describe 13th century medical technology very well.
the tricky part is that the rest of that million college-educated folks would answer "I don't know", something LLMs really struggle at
Re: GPT-4 details leaked?
#445Earlier quoted context omitted.
LLaMA 30B or 60B can be very impressive when correctly prompted. Deploying the 60B version is a challenge though and you might need to apply 4-bit quantization with something like https://github.com/PanQiWei/AutoGPTQ or https://github.com/qwopqwop200/GPTQ-for-LLaMa . Then you can improve the inference speed by using https://github.com/turboderp/exllama . If you prefer to use an "instruct" model à la ChatGPT (i.e. tha…
Just a reminder that LLaMA is not open—in order to use it legally you have to agree to Meta's terms, which currently means research use only. The versions circulating on torrents are essential pirated, and while I don't have an ethical problem with that at all you can't use it safely in a business. The open replacements for LLaMA have yet to reach 30B, let alone 65B.
Re: GPT-4 details leaked?
#446Earlier quoted context omitted.
I don’t understand this. Won’t that hurt their progress on GPT-5?
The public position (as opposed to the rumour mills) is that they're not working on a 5, and don't intend to at least until they can figure out how to do it safely.
Re: GPT-4 details leaked?
#447Earlier quoted context omitted.
>> We'll keep the science a secret and try to pressure the government into making it illegal for you to compete with us. Just to be clear, there's no science being kept secret because there is no science being done. OpenAI's is a feat of engineering, borne aloft by a huge budget supporting a large team whose expertise lies in tuning neural net systems, and not in doing science. Machine learning, as it is practiced to…
I'm tired of science as a religion. People treat it as some gospel, like if you check out some criterions you're suddenly "scientific" and instantly get a sense of validity and authority that you shouldn't logically get. I judge things as "what you can do", not "what can you predict". The only demonstration of knowledge and understanding is being able to do something. Not predict. Not "scientific method" and ridiculo…
Re: GPT-4 details leaked?
#448Earlier quoted context omitted.
4-bit quantization removes a lot of the model's sophistication, and 60B parameters is still smaller than what GPT4 is using.
I remember to have read somewhere that GPT4 is not a single model but several models whose parameter counts are reported as a single sum. Perhaps quite doable but at lower speeds?
Re: GPT-4 details leaked?
#449Earlier quoted context omitted.
Have you tried falcon 40b instruct? Also take into account that chatgpt likely has some preprompt and by talking to falcon or other OS models it's all in your hands. Furthermore, Not many people discuss the significance of proper output sampling. I myself used to just test open source models with the greedy decoding only. Who knows if they wouldn't even beat (not at all)OpenAI with some clever output sampling scheme.
Does anyone have a link / instructions on getting Falcon 40b to install on Apple Silicon? Apparently "Hugging Face" have some internal swift code that works (but it has not been released). I'm keen to see how it performs on a maxed out Mac Studio (with all that unified memory available).
Re: GPT-4 details leaked?
#450"Open" AI, a charity to benefit us all by pushing and publishing the frontier of scientific knowledge. Nevermind, fuckers, actually it's just to take your jobs and make a few VCs richer. We'll keep the science a secret and try to pressure the government into making it illegal for you to compete with us. https://github.com/ggerganov/llama.cpp https://github.com/openlm-research/open_llama https://huggingface.co/TheBlok…
>> We'll keep the science a secret and try to pressure the government into making it illegal for you to compete with us. Just to be clear, there's no science being kept secret because there is no science being done. OpenAI's is a feat of engineering, borne aloft by a huge budget supporting a large team whose expertise lies in tuning neural net systems, and not in doing science. Machine learning, as it is practiced to…