jmiran15

Looks cool. I've faced the tautological tests issue as well, so curious to see how you guys are solving that.

Where do the tests run? Is it testing the prod app?

sounds good, thanks!

I don't think it hallucinates very much. If a customer asks a question that is answerable based on documents you uploaded, it will find the answer! I am working on a playground to showcase the RAG.

Thanks for the feedback! I’ll definitely add a demo.

Would it be possible to contact you through email? I’d love to hear about the more complex support mail. My email is jmiran15@jhu.edu

Should I open source this?

Also, if you are interested in learning more about the tech specifics, please let me know. I would love to share more details or open-source the code!

I plan on implementing a monthly subscription in the future. A free tier and a pair tier for once a chatbot reaches >X monthly chats.

I’d like to fix some bugs + add features while I get some users and then implement payments.

Thank you so much for trying it out and for the feedback!

The plan is to offer different models. The open source ones will be free and the closed sourced ones will require you own key.

Our first post is here https://theairevolution.beehiiv.com/p/firstissue It has 30 links of interesting new things we found on Twitter, Hackernews, Github, Reddit, and ProductHunt. Let me know what you think!

Hey, I am interested. Feel free to reach out at jmiran15@jhu.edu

Show HN: I created a website using the unofficial ChatGPT API to answer questions from an image input. The questions are transcribed and equations in the image are converted into LaTex. The text input is then fed into ChatGPT. The response is shown in real time, with all equations being converted back to LaTex.

Code is available at https://github.com/jmiran15/imgpt

Feel free to comment any suggestions or contribute on the github.

Thanks!

What do you mean?

Update:

- Redoing UI

- Adding good prompt examples

- Planning on cleaning up code and open sourcing. If anyone is interested in contributing feel free to reach out at jonathanmir115@gmail.com

- Going to try to embed the audio files to create similarity clusters.

- Might add folder upload so that producers can upload large loop libraries and have their sounds clustered or allow them to search their library through natural language.

- If you have any ideas for cool things I could add or improve, feel free to leave it in a comment or reach out through my email!

I used the Freesound.org api (https://freesound.org/help/developers/) to download a bunch of sounds to MongoDB. Specifically, I selected to include the ID, Name, Tags, Description, Previews, Images, and Analysis in the response. I then looped through all these sounds and combined the response info into a prompt for GPT Davinci, instructing it to create a descriptive paragraph about the sound. I combined Davinci's description with the Freesound.org descriptions and embedded it using Ada. I inserted the embeddings into Pinecone with the audio preview url and ID as metadata. Then I just embed the search query and compare it with the sound embeddings (Pinecone allows you to select what type of similarity, I used cosine) and return the 25 most similar sounds.

Thanks Greg, Pinecone has been great!

Thanks!

Editing the audio on the web would be really interesting. I'll look into this some more.

Thanks for the great feedback, I really appreciate it!

1. I'll definitely add some good examples, I think that will help with getting better sounds. 2. Working on improving the UI right now 3. Going to add this in the next push as well. For now reach out at jonathanmir115@gmail.com

Right now it only has grooves in the database. Going to add more sounds soon

Sorry about that, it is fixed now. No more login and 25 sounds

Removing google sign in now. Any feedback in the comments would be great if you are able to use it!

updating to include more sounds now