How close are we to local LLMs being useful? What's the impact?
Feels to me like local models are an under-covered aspect of this whole AI boom.
If everything improves over time, at some point a good chunk of tasks won’t need to be done in data centers or be subject to the whims of a few frontier AI labs.
How close are we to that? Or is my thinking flawed?
👤 david927 Accepted Answer ✓
I think we're past that point; they're absolutely useful already for a lot of tasks. I think it's about costs, convenience, and benefits of a frontier model for what you're doing.
👤 PaulHoule
I do classification with SLMs and for my tasks when I have a few thousand samples the frontier models in zero-shot and few-shot modes are embarassingly bad in comparison.
👤 buffer_overlord
until its cheaper to train and infer than 100k gpu data centers...i doubt it will ever compete.