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jjokah 
posted an update 2 days ago
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The past few years have been a blast for artificial intelligence, with large language models (LLMs) stunning everyone with their capabilities and powering everything from chatbots to code assistants. However, not all applications demand the massive size and complexity of LLMs, the computational power required makes them impractical for many use cases. This is why Small Language Models (SLMs) entered the scene to make powerful AI models more accessible by shrinking in size.

In this article we went through what SLMs are, how they are made small, their benefits and limitations, real-world use cases, and how they can be used on mobile and desktop devices.
https://huggingface.co/blog/jjokah/small-language-model

Right-sizing language models is something I'm really here for. I find that a 1.5B parameter model fronting simple questions from a backing RAG source that a larger model gradually works on is more scalable. Classic information sources and stores can be QA'd, and they don't have such huge energy footprints.

AI will work out better if we give humans, classic code, SLMs, and frontier LLMs the roles they're right-sized for, and ensure data privacy and individual dignity at every stage of the contract.

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💯 SLMs have an exciting future.