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>and whatever the hell Angular is

I've definitely seen LLMs compose jokes with this structure a lot where "whatever the hell ___ is" is in parenthesis. Not saying this is AI generated tho

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I wouldn’t be so sure that that’s human text

I can reliably get my custom models to output a 95% perfect replication of my tone and voice

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As somebody who attempted that recently, I seriously doubt that percentage :D
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Maybe you just have a voice that's, shall we say, in sparse latent space? ;)
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New insult dropped!
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I have an insane amount of writing output as training data going back a loooong time so it all comes down to how much training data do you have
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Many of us can do it on just our hacker news comments (been there, done that).
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What do you mean by your custom models? Do you mean custom prompting?
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Guessing - finetuned? Or LoRA?

EDIT: Nevermind, see below. I would definitely go with a LoRA though.

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That’s if I was going to build my own model on myself, which I’m not planning on doing at this point
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Couple things:

I have a “style guide” markdown that is pretty expansive

I run an RLHF style loop with me in the middle for all my writing now where I give a voice rant that is over expressive (aka redundant samples of concepts that I want to express clearly) in order to manage lossy compression steps

Then I will manually clean up that last 5% after a half dozen rounds

That sequence goes into the style guide to be referenced as a reasoning chain of thought to map rant > output

It’s been three years of tuning I’d suspect at this point

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How did you train your style guide, though?

I have a somewhat expansive style guide, and it still reeks of Claude.

My cleanup is much closer to 40%, which still makes it worth the effort, but sometimes when speed matters, I'll apologize for the slop.

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I've recently been using gemini argon as a voice judge. so it goes claude ( with style guide) -> voice judge with argon -> claude adjusts. I do that in a few loops before it hard stops if it can't reconcile, and pushes to me for review.
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