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Small language models are the future of agentic AI

(arxiv.org)
112 points favoboa | 4 comments | 01 Jul 25 03:33 UTC | HN request time: 0.449s | source
1. moqizhengz ◴[01 Jul 25 08:45 UTC] No.44431902[source]▶
How is SLM the future of AI while we are not even sure about if LMs are the future of AI?
replies(3): >>44431962 #>>44432609 #>>44435826 #
2. boxed ◴[01 Jul 25 08:56 UTC] No.44431962[source]▶
"Future" maybe means "next two months"? :P
3. umtksa ◴[01 Jul 25 10:59 UTC] No.44432609[source]▶
I know this isn’t a question, but more of a general observation about LMs. However, I’d still like to say that a fine-tuned Qwen3 0.6B model can produce more effective and faster results than a raw Gemma 3 12B model. Maybe it’s because I’m not a programmer, but I believe being able to give commands in natural language adds a great deal of flexibility to software.
4. Uehreka ◴[01 Jul 25 16:53 UTC] No.44435826[source]▶
LLMs are definitely the future of AI until something better gets invented. And that could be a long time, if it even happens at all.

It’s not 2023, there isn’t really a question of whether LLMs are going to stick around. They’re too useful to ever truly disappear, and in all likelihood their usage will grow if they can continue to eke out even minor incremental improvements.