You Ask, I Answer: Style Transfer in Generative AI Writing?

Today's episode of You Ask I Answer was recorded in front of a live studio audience at the Digital Now conference in Denver, Colorado, in November 2023. The session title was appropriately, You Ask, I answer live. Generative AI QA. Enjoy. Yes.

This is gentlemen here, and then you thank you. Do you know the tool that can help create sentiment? For example, return to office and trying to determine. Well, one, that's an issue that our staff are thinking about. And two, they feel disabled.

Sorry, I like a community. We have all that information what we go posting in our in our organization. And well, I'd like to be able to determine what our members are talking about and are concerned about before they maybe open. Yeah, all the language models can do that very, very easily. So though there's two ways of handling it, you could just do an aggregate.

So for something like Claude, you would you would load uh assuming that you've done de-identified, you take out personal identifying information, you would write a prompt along the lines of, you know, here's however many hundreds of responses. I want you to do an aggregate scoring of sentiment, you know, minus 10 to plus 10, um, and then give me a roundup. Or secondarily, if you want precision, you would take that data set and you would you would write a prompt just to identif just to solve for sentiment. You'd say to a language model, your your task is to identify sentiment of this passage, and then you wrap some code around that and process the data set one response at a time and build a table of the sentiment scores. And then you can perform, you know, load that in Excel, and you can say on average the sentiment was this, and if you have other data, then you can do quantitative stuff.

Um I would personally lean towards the latter, but I also code a lot, so I would be comfortable with that outcome. For the the not as fancy version. Um let me see if I have one in here that uh I don't have anything that isn't customer data. Um but I would say I would take a good selection of maybe 500 responses sampled, put it in a text file, feed it to Claude, and say, give me percentages of sentiment, positive, negative, neutral, um, etc., and then identify the top 10 topics uh within this conversation cluster, and that it will it will do that. Yes, this is very specific to ChatGPT for this what I tend to use people for Gertrude.

She's super fiery and easy to train. Um anyway, um the in training it, um we've kind of gotten into our habit of having several different like chats going. So like I have one that's trained to sound like my boss, so because I do a lot of ghostwriting for him, so I'll put it in there and see how make this sound like him and I fed it things. So I've got like my Chris chat, but like a mini chat over here, and then up here, like I have something about particular type of education offering that we have, and once for our conference. Is that in in maintaining like brand consistency and teaching it about our brand and our association?

It's not going to span through each of those individual chats, I don't think. But is there like a better way to do that instead of just having like all of these disparate chats going on, or should we be building all on one all in one stream? Does that make sense? It makes sense. I get what you're saying.

Um what you'll run into is you'll run into context window issues. That's what I was afraid of. Yeah, you'll you'll start running to drift where it forgets stuff. So what I would suggest doing there is um what is called neural style transfer. And essentially it is to build a prompt.

Let's see if I have a neural style transfer prompt handy. Uh do this is I should probably sort this. There we go. Let's see. Neural style transfer.

Um I have here it says, you will act as a literary expert. You're an expert in style transfer and neural style transfer writing. Your first task is to read the following text and learn the author's writing style, read the text, then describe the author's writing style in a bullet point format appropriate for use in a large language model prompt. Use a second person imperative tone of voice and style. So if I take, let's take a recent email.

Let's take this one here. And I'm going to copy that whole chunk. Let's do this chat GPT as it looks like it's having a bad day. So uh we'll just paste this in here into Claude. So this is taking my CEO's writing style, and now it is creating essentially a second person imperative, which is a writing prompt.

Right? So now you would say, you you might do 10 or 15 or 20 pieces of content that that your CEO or your boss writes in in one big chunk, because Claude can handle lots of large documents, and say, write me a writing style for this. And next, and the next time you go to to to use this, you would say, uh, go back to my writing prompt here. You will write with the following style. You paste your bullet point list in, and now it's going to replicate that writing style without you having to you know remind it all the time.

It um it's a great way to to condense down that style into specific commands. Mm-hmm. So here, use an opening hook to draw the reader in, establish credibility by mentioning your experience and expertise. Main make your point clearly and directly, don't dance around the main message, invite feedback and input from the reader. That's all my CEO style.

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