LocalLLaMA

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Community to discuss about Llama, the family of large language models created by Meta AI.

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Should corporations and smaller businesses be training, refining, and running local LLMs to avoid the future cost of the new cloud services M$ and Amazon are rolling out? (alien.top)

submitted 11 months ago by 3-4pm@alien.top to c/localllama@poweruser.forum

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It seems to me that the next big boom for cloud computing will be offering to train and host models that understand the unique business domains it serves.

Are the smart corporations already training local LLMs to understand and answer questions about their business, or is this space too new to accommodate them?

I feel like some of you may be missing a huge business opportunity. You may not realize the value of what you have already researched.

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[–] Belnak@alien.top 1 points 11 months ago (8 children)

My perspective as a Fortune 500 IT solutions architect... why would I spend a few million dollars and a year of project time to build out local infrastructure that'll already be outdated by the time it's installed, when I can just hand my developers and data team permissions on Azure to be able to immediately access the same or better resources for a fraction of the cost? Scale is value, and cloud service providers will always have far greater scale.

[–] zer00eyz@alien.top 1 points 11 months ago

Someone has not gone and sat down with the legal department.

Who owns LLM generated work? IANAL but based on recent cases it looks like "not you" and "no one" because there is no human hand in the output. It seems that this puts it directly in the public domain.
What does the TOS say at OpenAI and MS right now regarding these items. It doesn't seem very clear and it looks like they are gonna use the OUTPUT for whatever they want. https://foundation.mozilla.org/en/campaigns/microsoft-ai/ Mozilla's making it personal, it might just be a clear statement on "unowned" things that might be "owned" in the future.

Depending on your business, a LLM that does not tell stories, do porn, math, answer logic problems might be wasteful if you want to supercharge customer service by shoving in your own documentation. A thinner model might be cheaper to run at the scale of Fortune 500 CS than say anything azure is offering.

Without doing the math, and you need to have local hardware enough to do the math it's nearly impossible to make any sort of cost benefit analysis.

Cloud for scale is NOT value, cloud for scale is COST... Value is an asset and deprecation on said asset. If you aren't tracking your revenue vs expenses in cloud on a week over week basis, if you dont know your cloud costs per user, or customer (and those are going to be different depending on what you do and how you do it) there is zero corollary between cloud and value. The free money is gone, the belt is only gonna get tighter money needs to be in every metric...

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