[drdaeman]

It just generates some blabber that "seem" to relate.

I've asked it "How a raven is like a writing desk?" (assuming that it's unlikely it was trained how to respond) and it just started to "The answer can be found in Alice in the Wonderland" then retell me the plot until it ran out of tokens. With a lower temperature it switched to "Both are black" and something about "dead men tell no tales".

I suppose trying to make an universalist model comparable to GPT-3/4 with a drastically less number of parameters would always produce subpar results, just because it can't store enough knowledge. A specialist model, though, taught in depth on one specific topic, may be still useful.