this post was submitted on 24 Jul 2024
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[–] [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] 6 points 4 months ago (3 children)

Azure/AWS/other cloud computing services that host these models are absolutely going to continue to make money hand over fist. But if the bottleneck is the infrastructure, then what's the point of paying an entire team of engineers 650K a year each to recreate a model that's qualitatively equivalent to an open-source model?

[–] [email protected] 3 points 4 months ago* (last edited 4 months ago) (1 children)

The engineers can generally also do other things, the security will likely be better, and its fully possible API costs will exceed that sum if you need that much expertise inhouse to match your API usage.

[–] [email protected] 6 points 4 months ago

The engineers can generally also do other things

What's the job posting for that going to look like, LLM stack maintainer wanted, must also be accomplished front end developer in case things get slow?

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