Summarize the following comment from reddit, which answers a few questions in succession:

Vicuna-13B, as it stays remarkably coherent (with its full 2048 context size) and I find it simple enough to break its infamous safeguarding.

NAME_1 about and play pseudo-AI-researcher as I see where their limits and flaws lie. Logical problems, storytelling, instruction following, making it role-play a Linux terminal (I know) . . .

Edit the inner context down to the last detail and shape their in-context behavior in interesting ways. You could include today's weather, for example.

The stuff above, the abundance of options and the lack of cost are in the local models' favor, while ChatGPT Plus would get you the state–of-the-art goodies. I do see local models getting to scary good levels pretty soon however (they are already great), what with all the datasets being published and whatnot.

Learn about and tune the parameters to find those sweet spots (top-k: amount of top tokens to be sampled from, top-p: limit sampling to top tokens with x cumulative probability, temperature: the "flatness" of the sampling distribution, etc.). A bit like you would overclock components or tune an engine. You could ask and search around for parameters as well.

End of comment.

Finally, predict what questions were being answered by the comment. Provide your response in exactly 6 paragraphs (separated nearby paragraphs with 3 aterisk symbols ***).
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