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Ask HN: What have you built with LLMs?

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Re: Ask HN: What have you built with LLMs?

#151
post #61

Earlier quoted context omitted.

GPT-3 doesn't even manage the first few steps of the tested text adventure. And GPT-4 is not good at playing these adventures either. However, my code run a newer version of the Z-machine. So Zork and many other text adventures will work. I have not tried many other games though.

I was surprised how high your costs were. I assume you are putting the entire transcript into each prompt, but even then that seems high. Is GPT's planning also taking up a lot of room? I did find giving GPT some hints about the known commands helped a lot, and I put in some detection of error messages and kept a running log of commands that wouldn't work. Getting it to navigate the parser is kind of half of the skil…

The costs have dropped significantly months after I created the cost image. Now I use GPT-4 Turbo. This GPT-4 model understand how text adventures work and there is no need to give him known commands.

Of course you try even more sophisticated techniques than mine. I tried the ReAct pattern and virtual discussions. So far, he always stumbles at the same place in a critical understanding of the text. And I tried exactly this critical step dozens of times.

You will understand the issue yourself, once you play the game yourself. It just takes 20 minutes and is very easy:

https://adamcadre.ac/if/905.html

Re: Ask HN: What have you built with LLMs?

#152

I built an AI Hiring Assistant that performs an initial screening, collects candidate information, answers questions about the role, and also asks a several behavioral interview questions: https://hiring.gracekelly.dev/ Built entirely on Vercel & OpenAI. Took about a day, hardest part was configuring Sign In With Google. Had several dozen candidates use it, saved a lot of time and helped prioritize conversations. I j…

> A few people emailed their resumes directly rather than using the chat

How did they fare compared to candidates that went through the chat process?

Re: Ask HN: What have you built with LLMs?

#153
I'm building a way to automate creation of software video lessons and courses, putting it all under the name 'CodeVideo'. One tool leverages OpenAI's whisper, as well as GPT3.5 or GPT4 for help with generating the steps that ultimately produce the video (this part is not yet in the repo; everything is a work in progress). The tool is here:

https://github.com/codevideo/codevideo-ai

My goal is to definitely NOT generate the course content itself, but just take the effort out of recording and editing these courses: you provide (or get help generating) the stuff to speak and the code to write and the video is deterministically generated) The eventual vision is to convert book or article style text to generate the steps to generate the video in an as-close-as-possible-to-one-shot.

I also leverage Eleven Lab's voice cloning (technically not an LLM, but impressive ML models nonetheless)

For anyone more curious, I'm wondering if what I'm trying to do is in general a closed problem - to be able to generate step by step instructions to write functional code (including modifications, refactoring, or whatever you might do in an actual software course) or if this truly is something that can't be automated... any resources on the characteristics of coding itself would be awesome! What I'm trying to say is, at the end of the day code in an editor is a state machine - certain characters in a certain order produce certain results. Would love if anyone had more information about the meta of programming itself - abstract syntax trees and work there comes to mind, but I'm not even sure of the question I'm asking yet or trying to clarify at this point.

Re: Ask HN: What have you built with LLMs?

#156
I am working on an app to make it even easier to run Local LLMs and support for multiple chats, RAG, and STT. I did it mostly for learning about different tasks that’s possible using local LLMs and specifically for my wife who was working overwhelmed with those things (and for some reason was overwhelmed setting up Ollama. Tech stack is Electron + NuxtJS, currently only for Mac but I have already started tinkering with Windows support.

https://msty.app

Re: Ask HN: What have you built with LLMs?

#157
I’ve always wanted a tool to help me track my online orders. However, it wasn’t practical to make integrations with every merchant. Even scraping the order emails was way too much work to do for an unproven product.

Now with LLMs it’s simple to extract structured data from emails.

I built [Orderling](https://orderl.ing) that is basically a CRM for your orders. It uses OpenAI api to extract the order information and automatically adds it.

Re: Ask HN: What have you built with LLMs?

#158
post #24

I don't like selling. I wanted a way to practice cold calling in a realistic way. I set up a phone number you can call and talk to an AI that simulates sales calls. I ended up using it for more general purpose things because being able to have a hands-free phone call with an AI turned out to be pretty useful. It's offline now, but here's the code with all the stack and deployment info: https://github.com/kevingduck/C…

Like exposure therapy for people afraid of sales. Very nice idea.

nice term this, exposure therapy"

Re: Ask HN: What have you built with LLMs?

#159

I was tired of the need to scroll through dozens of blogs and RSS feeds to learn about technologies and industry news, so I’ve built a service that helps you learn and stay updated about any topic by sending a single fully personalized weekly email digest, making relevant information come to you, instead of you chasing it (push vs pull): https://peekly.ai It’s basically an LLM-based RAG that works over the best blogs…

I'm unable to submit my email/interests. This is in firefox with and without UBlock Origin. Errors: https://i.imgur.com/N28wnVY.png

Wow, thanks for letting me know! I've just fixed the problem thanks to your bug report.

Re: Ask HN: What have you built with LLMs?

#160

I built https://eternalsouls.ai/ for a client recently. You just export and upload a WhatsApp conversation and it will learn the personality AND voice of your conversation partner. You can send/receive text or voice messages; It was pretty damn spooky to actually have a voice conversation back and forth with an AI standing in for my "friend"

I've seen this episode of Black Mirror.
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