What do you call it when an economic bubble stops growing? In February, stock analysts TD Cowen spotted that Microsoft had cancelled leases for new data centres — 200 megawatts in the US, and one g…
Pattern recognition for assisting with diagnosis, treated similarly to lab work and other techniques that still require a human to verify. Also for developing new medicines and treatments, all with human confirmation but as a tool to help identify what to focus on.
But LLMs are pretty much the topic of discussion here, especially when referring to MS and their data centers. So when people say large models you just kinda have to assume… especially when you didn’t mention any other models
The future for the (very few) legitimate uses of AI is small local models, like we’ve been using for a decade without the buzz.
Those huge models are a nice novelty, and that’s about it.
there are good applications in medicine and research for larger models.
also local, running on their own servers.
Large-scale AI or specifically LLMs?
All that has been around for a long time now, there is no “medical AI boom” that would explain the need for new DCs.
Pattern recognition for assisting with diagnosis, treated similarly to lab work and other techniques that still require a human to verify. Also for developing new medicines and treatments, all with human confirmation but as a tool to help identify what to focus on.
LLMs don’t really do any of that though, those are different kinds of models.
Yes, that is why I didn’t say they would be using LLMs.
But LLMs are pretty much the topic of discussion here, especially when referring to MS and their data centers. So when people say large models you just kinda have to assume… especially when you didn’t mention any other models
LLM stands for large language models
its what i imagine the op i was responding to means when he said “huge models”, and what i meant with my response.
“AI” is indeed a loaded term.