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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?

#71

Post by hlfshell »

I have two main projects that are public ATM with LLMs.

The more notable one was experimenting with LLMs as high level task planners for robots (https://hlfshell.ai/posts/llm-task-planner/).

The other is a golang based AI assistant, like everyone else is building. Worked over text, had some neat memory features. This was more of a "first pass" learning about LLM applications. (https://github.com/hlfshell/coppermind).

I plan to revisit LLMs as context enriched planners for robot task planning soon.

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

#72

Post by qeternity »

Perhaps a follow on question, as I presume a lot of people reading the comments are looking for inspiration to build things (and those building might not want to reveal yet) what would you like to see built with the capabilities provided by LLMs?

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

#73

Post by jacomoRodriguez »

Me and an colleague working on a language learning app https://poli.xyz. It integrates in you favorite messenger and offers a wide variety of languages. You can either either do freestyle conversations or play certain scenarios. The bot corrects your Grammatik, translates and explains words and sentences and support tts and stt.

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

#76

Post by foxhop »

https://github.com/russellballestrini/flask-socketio-llm-com...

This project is a chatroom application that allows users to join different chat rooms, send messages, and interact with multiple language models in real-time. The backend is built with Flask and Flask-SocketIO for real-time web communication, while the frontend uses HTML, CSS, and JavaScript to provide an interactive user interface.

demo here supports communication with `vllm/openchat`:

* http://home.foxhop.net:5001

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

#77

Post by benjaminwootton »

I built this demo of using LLMs to query databases, knowledge bases, and most interestingly create PDFs. It’s targeted at financial services but similar could be achieved in many industries.

Very pleased with how it turned out as it really brings the potential of LLMs to life IMO.

https://www.youtube.com/watch?v=r8MyAxyPJsA

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

#78

Post by Kappa90 »

An app that aggregates the news from websites, blogs, YouTube channels and podcasts, and generate easily digestible summaries, along with a small podcast version so you can stay informed in an easy stress-free way.

Right now I’m working on including automatic fact checking and insights on how each source might be opinionated vs. reporting just the facts.

https://usetailor.com

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

#79

Post by ravila4 »

eurekin wrote: 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…

Very interested in this. I have been contemplating building something similar, but am unaware of any existing services that do this. Haven't played with pyannote, how does it compare to whisper? Also thought it might be useful to be able to OCR screenshots and use the text to inform the summariation and transcription especially for things like code snippets and domain-specifc terms.

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

#80

Post by 35mm »

A text to slide based online course video with images workflow.

I’m working for an edTech company. Some students prefer video. So I built a Django app that takes a block of text and formats it into a set of slides, each with a title, some bullet points, an Dalle-3 generated image, and a voiceover.

It then compiles that all into a video.

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