$[$ From in$-$class discussion: weeks $11$&$12]$ Which statement is FALSE regarding the projected language model $($PLM$)$ approach:

A small language model can be fine$-$tuned on local edge devices for task specializations without connecting to a LLM$.$

In the PLM approach, the parametric knowledge of a high$-$capacity LLM is projected into a small language model $($SLM$).$

Small language models can generate content across multiple domains of knowledge without additional training or fine$-$tuning.

The small language model retains much of the knowledge of a LLM$,$ but in a compressed form.