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Show HN: Prompt Engineering Made Easy

news.ycombinator.com

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Re: Show HN: Prompt Engineering Made Easy

#13

Post by MikahDang »

soultrees wrote: post #8
TMWNN wrote: post #5

Related question: We are approaching one year since news articles began appearing on "prompt engineer" as a job title. How viable has "prompt engineering" been as a job description? I am not asking about the breathless articles discussing $300-400K compensation, per se, but on whether it seems like a viable career path going forward.

From what I’ve seen there is definitely value in knowing how to get what to you want from these machines and especially how to not get what you don’t want, and every company using AI will need someone in charge of all the prompts the company uses, especially as they get more granular and quantitative, keeping a backlog of previous prompts used to write any internal or external comments, and being the main chopping he…

I think that is true. And I also think the future would be automated by the algorithm but the human will still be a significant part in deciding the outputs. Humans cannot be replaced 100% unless big corps create something truly AGI.

Re: Show HN: Prompt Engineering Made Easy

#16

Post by meiraleal »

Ancapistani wrote: post #6
MikahDang wrote: post #3

Earlier quoted context omitted.

Thank you for trying. Yes, this is AI-generated. We fine-tuned a special LLM with a huge dataset of prompts with a Monte Carlo algorithm to explore the solution space. We have evaluated every single prompt in our datasets before fine-tuning them with LLM metrics.

So, you've created an LLM specifically for generating prompts for other LLMs? A meta-LLM? That tickles my engineering receptors in a pleasing way (), but my financial side has questions. The most pressing: if this is successful and useful, why wouldn't the LLMs that you're targeting just replicate your creation and transparently put it between users and their own LLM? In other words, what is your moat here?

> The most pressing: if this is successful and useful, why wouldn't the LLMs that you're targeting just replicate your creation and transparently put it between users and their own LLM?

> In other words, what is your moat here?

He is using other people platforms to create a business, layers on top of LLMs won't have a moat, not even training the LLM is guaranteeing a moat. Why on earth everybody asks this on Show HN? The world doesn't need more big techs with moats, we need a healthy ecosystem where multiple players can work together without killing each other and become the only option. No moat, please.

Re: Show HN: Prompt Engineering Made Easy

#18

Post by MikahDang »

meiraleal wrote: post #17

It seems there are some CORS issue? Using firefox: Cross-Origin Request Blocked: The Same Origin Policy disallows reading the remote resource at https://apis.astadeus.com/autotext . (Reason: CORS header ‘Access-Control-Allow-Origin’ missing)

We would check this soon. Thank you for your feedback.

Re: Show HN: Prompt Engineering Made Easy

#19

Post by wodenokoto »

MikahDang wrote: post #12
wodenokoto wrote: post #9

We need to backpropagate from output string back through the network to generate the input string.

Thank you for your reply. Could you give us more details on that idea?

It’s how the original image recognition obfuscation techniques worked. You’d update an image by backpropagating from the desired output category.

LLMs are much more complicated structures than imagenets, so I’m sure there are a lot of challenges involved.

Also I imagine the input (output?) might be complete ghibberish.

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