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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?

#261
I wanted to automate the process of creating self-guided tours and online treasure hunts around towns and cities.

Ultimately I wanted a whole marketplace where anybody can create a tour and then sell it.

But the process of creating the tours was quite laborious.

So to speed this up I fed GPT-4 information about local points of information and had it write the questions and the multi choice answers. It also wrote some narrative bits as various personas. For example, there was a Christmas hunt where GPT4 played the part of an elf and came up with a theme about Santa needing to recruit you to be a new elf, once you’d answered all the various clues etc.

Front end is React Typescript, backend is Net Core Web API on Linux with MySQL under EF Core and also integrations with GPT4 and Stripe.

It’s hosted at treasuretours.org

Only superusers can access the AI tools right now because cost, but you can try out some of the pre-made hunts which were partially AI generated.

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

#262
Our CEO believes LLMs are a fad, so there's nothing really strategic about it in the company's roadmap, but I was able to assemble a skunkworks team of enthusiasts who integrated ChatGPT into one of our eLearning products. It allows a course author to improve writing, it makes suggestions about content, etc. Technologically, it's nothing special, just a bunch of pre-made prompts. The reception was kind of lukewarm because we were too late with it (due to decision makers not caring much about it and delaying the release for no reason) - by the time we rolled it out, you couldn't already impress anyone with it. Plus, there's almost no marketing about it. Currently, the main users of the integration are our own marketing and sales teams. It was my first experience of this sort (assemble a team, introduce a new feature from scratch - I was just an ordinary engineer before) but the ending was kind of... anticlimactic.

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

#263
post #262

Our CEO believes LLMs are a fad, so there's nothing really strategic about it in the company's roadmap, but I was able to assemble a skunkworks team of enthusiasts who integrated ChatGPT into one of our eLearning products. It allows a course author to improve writing, it makes suggestions about content, etc. Technologically, it's nothing special, just a bunch of pre-made prompts. The reception was kind of lukewarm be…

So was your CEO correct? Was this a fad? It seems interest has certainly cooled, at least for your market segment, according to your experiment?

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

#264

Can the smart folks on HN point out to a good resource or a collection of resource for a software engineer to get up to speed with LLMs and Gen AI concepts, and understand basic deployments and use cases?

I liked this one a lot: https://simonwillison.net/2023/Aug/27/wordcamp-llms/

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

#267
I have a somewhat unique answer for that- I started with building a product, and ended up building a dev platform for LLM based products (more specifically- dev platform for json outputting LLM structured tasks).

Here's the story:

At first I was building a tool for stock analysis- the user writes in free language what companies they want to compare, along with a time period, and their requested stocks show up on a graph. They can then further reiterate on it- add companies, and change range all in free language (I had many more analysis functions planned). Following some unique dev challenges I've found- I ended up not releasing the product (possibly will sometime in the future..), and switched to work on a dev platform to help with these challenges.

I was using what I called 'LLM structured task'- basically instructing the LLM to perform some task on the user input, and outputting a json that my backend can work with (in the described case- finding mentioned companies and optional time range, and returning stock symbols, and string formatted dates). The prompting has turned out to be not trivial, and kind of fragile- things broke with even minor iterations on the prompt or model configurations. So- I developed a platform to help with that- testing (templated) prompt versions, as well on model configurations on whole collections of inputs at once- making sure nothing breaks in the development process (or after). * If you're interested, welcome to check it out on https://www.promptotype.io

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

#269
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…

Love this, and love that you're using Elixir LiveView as well as Elixir with the Slack bot and lastly that you're based in Tokyo.

Followed you on Github, I'm looking at moving (back) to Japan in two years, likely to start a bootstrapped startup business and always good to have dev friends!

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

#270
post #43

"Widjosumarajzer" = video summarizer It's just a hodgepodge of prototype scripts, but one that I actually used on a few occasions already. Most of the work is manual, but does seem easily run as "fire and forget" with maybe some ways to correct afterwards. First, I'm using the pyannote for speech recognition: it converts audio to text, while being able to discern speakers: SPEAKER_01, _02, etc. The diarization provid…

Is pyannote the best diarization library you found? What's SOA? I've been using a saas product (Gladia) and I'm getting close to my 10-hour mark.
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