71–80 of 232 posts
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Nah, full-on babelfish is simply not possible. The meaning of the beginning of a sentence can be modified retroactively by the end of the sentence. This means that the Babelfish must either be greatly delayed or awkwardly correct itself every once in a while.
Close enough for practical value. Yes, big downside. But personally I’d use it.
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The metaverse, if we define it as an information layer that exists in parallel with the physical 'stuff' universe and is a seamless, effortless, and essential part of what we experience as reality will be an enormous part of our future. Meta might just be a few centuries ahead of the curve, which is just as bad as being a few centuries late.
Centuries really? I think Meta's going to be just on time.
I would like to use stuff like this as a side-project. Buy a Nvidia Geforce GPU and stick it into my 24/7 server and play around with it in my free time, to see what can be done. The issue with all these AI models is that there's no information on which GPU is enough for which task. I'm absolutely clueless if a single RTX 4000 SFF with its 20GB VRAM and only 70W of max power usage will be a waste of money, or really…
Wait why is renting a GPU in the cloud not a solution? You can even try multiple options and see which ones are capable enough for your use case. Look into some barebones cloud GPU services, for example Lambda Labs which is significantly cheaper than AWS/GCP but offers basically nothing besides the machine with a GPU. You could even try something like Vast in which people rent out their personal GPU machines for chea…
they must offer distributed storage, that can accommodate massive models, though? how else would you have multiple GPUs working on a single training model?
I was kind of hoping for Interlingue, but was surprised to not even see Esperanto on the list.
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Based on the availability of STT, TTS, and translation models available to download in that github repo, a real-life babelfish is 'only' some glue code away. Wild times we're living in.
Nah, full-on babelfish is simply not possible. The meaning of the beginning of a sentence can be modified retroactively by the end of the sentence. This means that the Babelfish must either be greatly delayed or awkwardly correct itself every once in a while.
I would like to use stuff like this as a side-project. Buy a Nvidia Geforce GPU and stick it into my 24/7 server and play around with it in my free time, to see what can be done. The issue with all these AI models is that there's no information on which GPU is enough for which task. I'm absolutely clueless if a single RTX 4000 SFF with its 20GB VRAM and only 70W of max power usage will be a waste of money, or really…
Wait why is renting a GPU in the cloud not a solution? You can even try multiple options and see which ones are capable enough for your use case. Look into some barebones cloud GPU services, for example Lambda Labs which is significantly cheaper than AWS/GCP but offers basically nothing besides the machine with a GPU. You could even try something like Vast in which people rent out their personal GPU machines for chea…
Earlier quoted context omitted.
Wait why is renting a GPU in the cloud not a solution? You can even try multiple options and see which ones are capable enough for your use case. Look into some barebones cloud GPU services, for example Lambda Labs which is significantly cheaper than AWS/GCP but offers basically nothing besides the machine with a GPU. You could even try something like Vast in which people rent out their personal GPU machines for chea…
My annoyance was managing state. I’d have to spend hours installing tools, downloading data, updating code, then when I want to go to bed I have to package it up and store as much as I can on s3 before shutting off the $$ server.
I would like to use stuff like this as a side-project. Buy a Nvidia Geforce GPU and stick it into my 24/7 server and play around with it in my free time, to see what can be done. The issue with all these AI models is that there's no information on which GPU is enough for which task. I'm absolutely clueless if a single RTX 4000 SFF with its 20GB VRAM and only 70W of max power usage will be a waste of money, or really…
meta is doing more for open ai than openai
I don't think anyone is too surprised by the fact that OpenAI went closed. As ironic as it may be, it was pretty obviously the only way they were going to continue to exist. On the other hand, it definitely underscores: - How blatantly companies exploit the "open source" concept with no remorse or even tacit acknowledgement; for many startups, open source is a great way to buy some goodwill and get some customers, th…
Sure, it may work sometimes with the goodwill of someone who cares, but 90% of OSS code is a dead portfolio the authors built with the hope of landing a tech job or skipping some algorithm questions.
Sure, OSS allow people to experiment with crap for free (even though it's mostly big corps benefiting from OSS) but what about the negative effects OSS produce on small businesses?
How many developers could spend their life maintaining small parts of software instead of working in soulless corporations, if giving away your code for free (and without maintenance) wasn't so common? How much better would this code be compared to the wasteland of OSS projects? How much more secure could the entire ecosystem be? How many poor developers are working for free just in the hope of getting a job someday?
We need to stop dreaming the OSS dream and start making things fairer for the developers involved.
I would like to use stuff like this as a side-project. Buy a Nvidia Geforce GPU and stick it into my 24/7 server and play around with it in my free time, to see what can be done. The issue with all these AI models is that there's no information on which GPU is enough for which task. I'm absolutely clueless if a single RTX 4000 SFF with its 20GB VRAM and only 70W of max power usage will be a waste of money, or really…
Which leads you to what hardware to get. Best bang for the $ right now is definitely a used 3090 at ~$700. If you want more than 24GB vram just rent the hardware as it will be cheaper.
If you're not willing to drop $700 don't buy anything just rent. I have had decent luck with vast.ai