A farmers-market stall-booking team can only host a compact on-laptop model for drafting reminder texts. How should they describe a small language model (SLM) compared with a general LLM?
Select an answer to reveal the explanation.
Short Explanation
Think compact toolkit versus full workshop: fewer tools, easier to carry, aimed at a narrower job. An SLM is a smaller, lighter, focused GenAI option next to a general LLM. Size and focus are the tester-awareness points—not a guarantee of higher accuracy everywhere.
Full Explanation
Small language models have fewer parameters and are positioned as lightweight, often more focused GenAI options relative to larger general LLMs. That fits constrained hosts such as an on-laptop drafting helper for reminder texts. SLMs are still generative language models, not classical classifiers or synonyms for context-window size. Chapter 1 asks for awareness of size and focus, not for GPU-cluster sizing or absolute accuracy claims.