In technical terms, it's PostgREST + GoTrue as TS library (written in rust and go, compiled to wasm, with support for Ppostgres/MySql/Sqlite/ClickHouse)
Ask HN: Tell us about your project that's not done yet but you want feedback on
81–90 of 472 posts
Re: Ask HN: Tell us about your project that's not done yet but you want feedback on
#82I've been working on this on and off for a few weeks now. The idea is to let LLMs interact with the outside world using function calling. Eg- I built a simple version of chatgpt web browsing using function calling. There's a django site which is responsible for the auth, managing chats etc and then there's a flask site that's responsible for running functions in a gvisor sandbox. Users will be able to upload their functions as docker images and I'll run them in a sandbox.
There is a lot of self doubt at this point: who is this for? Will people pay for usage? Should I open source the entire thing or part of it? To add to this: I have no online audience, how do I promote this?
I do have some answers to these questions. Eg- should I open source the flask site and get llama 2 to use it? It provides value to the community + hopefully I can get some attention for the project.
I would appreciate any feedback on this project. Please send me an email if you want some openai credits added to your account.
Edit: use testaccount/demouser to login, I've added some credits for testing.
Re: Ask HN: Tell us about your project that's not done yet but you want feedback on
#83Re: Ask HN: Tell us about your project that's not done yet but you want feedback on
#84As someone who has been majorly affected by the Hollywood strikes, I finally dived in and spent the time needed to make mistakes to continually learn how to program. That said, ive been working on a node.js PDF Text screenplay parser that will ultimately push out a JSON object according to an initiative to standardize all screenplay objects in screenJSON[0]. Here is the github for my project, it’s messy but I’m about…
Re: Ask HN: Tell us about your project that's not done yet but you want feedback on
#85Re: Ask HN: Tell us about your project that's not done yet but you want feedback on
#86Re: Ask HN: Tell us about your project that's not done yet but you want feedback on
#87https://transcript.fish I have been working on this podcast transcription project for a couple months and it's been super rewarding. I listen to a podcast called No Such Thing As A Fish[0], where some researchers talk about their favorite facts they learned that week. Then they riff on it and are generally smart and funny. I listened to the series so many times that I decided I wanted to listen to the show on shuffle…
Naive comment here but you could check out using a vector database for semantic searches. Check out chromadb.
Re: Ask HN: Tell us about your project that's not done yet but you want feedback on
#88As someone who has been majorly affected by the Hollywood strikes, I finally dived in and spent the time needed to make mistakes to continually learn how to program. That said, ive been working on a node.js PDF Text screenplay parser that will ultimately push out a JSON object according to an initiative to standardize all screenplay objects in screenJSON[0]. Here is the github for my project, it’s messy but I’m about…
Have you tried using any LLM for this task? LLMs are text-in text-out systems and excel at transformations of text.
Where the fun with LLMs come in, is after all the screenplays have been parsed and turned into a dataset that is trained on not just the story but also the cinematography aspects, as well since we’ve broken it down to a granular detail of each element of each scene.
Re: Ask HN: Tell us about your project that's not done yet but you want feedback on
#89Re: Ask HN: Tell us about your project that's not done yet but you want feedback on
#90Earlier quoted context omitted.
Have you tried using any LLM for this task? LLMs are text-in text-out systems and excel at transformations of text.
Oh for sure, but since most screenplays are standardized to a point, the idea is to just use Regex to get there, then use a local version of llama 2 to finish up the classifications. Where the fun with LLMs come in, is after all the screenplays have been parsed and turned into a dataset that is trained on not just the story but also the cinematography aspects, as well since we’ve broken it down to a granular detail o…