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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?

#51

Post by hazard »

A Twitter filter to take back control of your social media feed from recommendation engines. Put in natural language instructions like "Only show tweets about machine learning, artificial intelligence, and large language models. Hide everything else" and it will filter out all the tweets that you tell it to.

Runs on a local LLM, because even using GPT3 costs would have added up quickly.

Currently requires CUDA and uses a 10.7B model but if anyone wants to try a smaller one and report results let me know on github and I can give some help.

https://github.com/thomasj02/AiFilter

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

#52

Post by ianbicking »

s-macke wrote: post #44
cryptoz wrote: post #32

I made some LLM-powered text-adventure games: https://cosmictrip.space/gameannouncement And I'm working on a webapp that is a kanban board where LLM and human collaborate to build features in code. I just got a cool thing working there: like everyone, having LLM generate new code is easy but modifying code is hard. So my attempt at working on modifying code with LLM is starting with HTML and having GPT-4 write beautf…

I didn't make text-adventures with LLMs. I try to solve them [0]. So, far, none of the 7 tested models were able to win even one of the easiest text adventures. I tried many prompting techniques. But only GPT-4 was able to play through the first half of the game. [0] https://github.com/s-macke/AdventureAI

Fun, I tried to do this back with GPT-3: https://llm.ianbicking.org/interactive-fiction/

But Zork wouldn't be a very accurate measure of skill because GPT definitely knows Zork. Unfortunately the emulator (https://github.com/DLehenbauer/jszm) doesn't work with most games newer than Zork. I haven't revisited the code with newer GPT models either.

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

#53

Post by duckkg5 »

dsco wrote: post #42
duckkg5 wrote: 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…

So the AI tries to sell to you, or you try to sell to the AI? This sounds very intriguing but I can tell by your README that you're an engineer and not a sales guy - there are no distinct value propositions. But it sounds damn creative as a project.

The AI answers the call and acts as a potential customer. They take on personas to simulate behaviors like difficult or reluctant customers. You then do your pitch, handle objections, etc. At the end you get a transcript that's 'graded' to show you where you could improve your sales approach.

And you're right, I'm not a sales guy. This project is for people like me who want a risk-free place to learn the basics of sales so that when I do talk to an actual human, I won't panic and freeze up like I always do.

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

#54

Post by lefstathiou »

bluecoconut wrote: post #25

We've made a lot of data tooling things based on LLMs, and are in the process of rebranding and launching our main product. 1. sketch (in notebook, ai for pandas) https://github.com/approximatelabs/sketch 2. datadm (open source, "chat with data", with support for the open source LLMs ( https://github.com/approximatelabs/datadm ) 3. Our main product: julyp. https://julyp.com/ (currently under very active rebrand and c…

This is cool. Thank you for sharing.

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

#55

Post by iloveitaly »

Some little projects I've been playing around with:

- https://github.com/iloveitaly/sql-ai-prompt-generator generate a ChatGPT prompt with example data for a sqlite or postgres DB

- https://github.com/iloveitaly/conventional-notes-summarizati... summarize notes (originally for summarizing raw user interview notes)

- https://mikebian.co/using-chatgpt-to-convert-labcorp-pdfs-in... convert labcorp documents into a google sheet

- https://github.com/iloveitaly/openbook scrape VC websites with AI

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

#56

Post by duckkg5 »

qup wrote: post #37
duckkg5 wrote: 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…

That's cool. Thanks for sharing the source. What else has it been good at for you?

The cold call sales part can be replaced to suit any need. I had another version that was just a generic AI (no sales stuff). I found myself on walks frequently ringing up the chatbot ("Hey siri, call ChatGPT") and just asking it whatever is on my mind. "Tell me about Ghengis Khan" or "where's a good place to catch trout in north Georgia" or "how do I make baked ziti". Makes the walks go by super quickly.

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

#57

Post by aakil »

I built a flask app based chrome extension that takes content from the DOM and sends it to chatGPT for summarization, I also configured it to work on YouTube videos and PDFs, helps when you want to share the tl;dr of a site or video to a friend, I'm thinking I'm going to add some more specific summary functionality next, like listing out a recipe's ingredients and cooking steps

https://chromewebstore.google.com/detail/news-article-summar...

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

#58

Post by pashariger »

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 just did a brief writeup about it yesterday: https://www.linkedin.com/pulse/i-built-ai-hiringscreening-as...

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

#59

Post by chetjan »

bonamiko wrote: post #49

I am working on building out a better voice interface for LLMs. It is still a work in progress (early beta), but you can check it out at https://www.bonamiko.com Currently I have mainly been using it as a tandem conversation partner for a language I'm learning, but it can be used for many more things. As it is right now, you can use it to bounce ideas of, practice interviews, and help answer quick general questions.…

Very cool, just signed up. What advantages does this have over the one built into the ChatGPT app? Also, it would be great if I could see the text output in addition to the voice.

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

#60

Post by kebsup »

I'm building a spaced-repetition flashcards language learning app, that generates sentences and explanations for a given word.

Unfortunately only for German, but I plan on expanding the languages soon.

https://vokabeln.io

Tech stack: - The app is in Flutter. - Backend I'm nodejs TS. - GPT4 for generation of sentences and explanations - GCP text-to-speech for audio

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