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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?

#181

Post by ianbicking »

s-macke wrote: post #151
ianbicking wrote: post #84

Earlier quoted context omitted.

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 exactl…

You mean at the very end of the game? The game seems like it's only designed to trick you into that very ending :) Are you hoping it will figure out the game based on the context clues? I'm not sure I can find them myself...

A long time ago I did some exercises in "classical planning algorithms", which all feel very like the early part of this game. I.e., how do you get ready to leave if you have to shower, and can't do that with clothes on, etc. A similar planning example involved changing a tire (opening the trunk, removing lug nuts, etc). It was surprisingly difficult to make an algorithm that could figure it out! You could search the state space given the transitions, but it exploded with what was effectively lots of dead ends; obvious to me as a human, but not to the algorithm. Which is to say that this is a harder problem than it might seem.

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

#183

Post by kingkhalid »

I was frustrated with ChatGPT's inability to answer questions of popular-but-not-that-popular open-source projects. So I helped build a ChatGPT-like tool that can answer questions about any open-source project, and you can add your own (public) GitHub repositories to it. The tool is meant to be used by sales engineers, but can be used by anyone.

Check it out here: https://app.commonbase.ai/

It has been a huge help for me when working with certain open-source libraries.

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

#184

Post by xtracto »

I helped "writing" a cookbook from my grandmother's recipes. For her 100th birthday, my dad rescued more than 250+ pages of recipes that my Grandma had collected over the years. Some were written in typing machine, others written by hand by her. So, my dad scanned (pictured) all the typed recipes, and "dictated" all the handwritten.

For the dictated recipes, I told him to dictate just "flat" the words and numbers. So that I had paragraphs of recipes.

For the scanned recipes, I used Google OCR (I found out it was the best one quality wise).

For both sets of recipes, I then used GPT4 to "format" the unformatted recipes into well formatted Markdown. It successfully fixed typos and bad OCR from Google.

We then pasted all that well formatted text into a big Google Docs, and added images. Using OpenAI image generation I generated images for each of the 250+ recipes. For some of them I had to manually curate it, given that some of the recipes are for typical Mexican food: For example there's a (delicious) recipe called "PibiPollo" that for the unitiated it may look like a stew, so I had to tell something like "large corn tamale with thick hard crust".

In the end, the book was pretty nice! We distributed digital copies within the family and everybody was amazed :) . I loved spending time doing that.

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

#185

Post by geor9e »

My "stack" is just Apple Shortcuts making HTTP POST API calls to OpenAI, which does stuff in MacOS via BetterTouchTool. I trigger each by hotkey or typing a few letter into Spotlight (with Alfred). One transcribes and summarizes whatever youtube URL is highlighted. One does grammar and style correction of whatever is highlighted (and replaces it). One simply replaces the Dictate key with OpenAI Whisper but otherwise works exactly the same as voice typing. It's just way more accurate. One replaces the magnifying glass key to have a voice conversation with ChatGPT (using Microsoft voice synthesis). The built in prompt keeps it's answers short and conversational. It's like asking Siri something, but much better. One simply reduces the highlighted text by ~50% by rewriting it shorter, for when I have typed too much. One gives the key points of whatever article is in the foreground tab, so I know what I'm about to read. One outputs purely code, for example I use my voice to say "javascript alert saying blah" and alert("blah"); will appear at my cursor. Of course, it's usually more complex boilerplate stuff, but it helps speed up my coding. Every time I find myself using an LLM repeatedly for something, I make it into a little Apple Shortcut to streamline it into my workflow, as if it were a built in MacOS feature.

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

#186

Post by aspenmayer »

meandave wrote: post #120
dmitrysergeyev wrote: post #68

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

Ironically, when trying to view your picture of errors, I myself get an error on Imgur itself:

{"data":{"error":"Imgur is temporarily over capacity. Please try again later."},"success":false,"status":403}

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

#187

Post by [deleted] »

kingkhalid wrote: post #183

I was frustrated with ChatGPT's inability to answer questions of popular-but-not-that-popular open-source projects. So I helped build a ChatGPT-like tool that can answer questions about any open-source project, and you can add your own (public) GitHub repositories to it. The tool is meant to be used by sales engineers, but can be used by anyone. Check it out here: https://app.commonbase.ai/ It has been a huge help fo…

[deleted]

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

#188

Post by tmm84 »

dvcrn wrote: post #177

Lots of small stuff like bots and scripts to automatically rename files that I use locally every single day Then things like: “Fix My Japanese” - uses LLM to correct Japanese grammar (built with Elixir LiveView): https://fixmyjapanese.com It has different “Senseis” that are effectively different LLMs, each with slightly different style. One is Claude, one is ChatGPT. Or a slack bot that summarizes long threads: https…

I use a local LLM too for my Japanese grammar and sentence improvements to make thme more native.

Sadly, every time I tried the fix my japanese page it just says the text I inputted wasn't Japanese. Maybe next time it'll work for me.

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

#189

Post by suyula »

I built Joke-Understander bot, a Mastodon bot that responds to a joke setup before the punchline is revealed. It's not very popular but I think it's hilarious.

https://botsin.space/@jokeunderstander

It's just a bash script that calls ollama on my desktop PC every morning and schedules a handful of posts on the Mastodon server.

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

#190

Post by pashariger »

have_faith wrote: post #152
pashariger wrote: post #58

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?

Small dataset for those that emailed, n=~3, but none of them were standout resumes. Best few candidates actually went through chat and also followed up via email with additional information a few days later.
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