this post was submitted on 24 Jul 2024
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[–] [email protected] 24 points 4 months ago* (last edited 4 months ago) (18 children)

Yann and co. just dropped llama 3.1. Now there's an open source model on par with OAI and Anthropic, so who the hell is going to pay these nutjobs for access to their apis when people can get roughly the same quality for free without the risk of having to give your data to a 3rd party?

These chuckle fucks are cooked.

[–] [email protected] 22 points 4 months ago (17 children)

For "free" except you need thousands of dollars upfront for hardware and a full hardware/software stack you need to maintain.

This is like saying azure is cooked because you can rack mount your own PC

[–] [email protected] 10 points 4 months ago (9 children)

That's mostly true. But if you have a GPU to play video games on a PC running Linux, you can easily use Ollama and run llama 3 with 7 billion parameters locally without any real overhead.

[–] [email protected] 7 points 4 months ago

The whole point of using these things (besides helping summon the Acausal Robot God) is for non-technical people to get immediate results without doing any of the hard stuff, such as, I don't know, personally maintaining and optimizing an LLM server on their llinux gaming(!) rig. And that's before you realize how slow inference gets as the context window fills up or how complicated summarizing stuff gets past a threshold of length, and so on and so forth.

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