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ashobeiri

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[untitled]

1 points·by ashobeiri·vor 2 Jahren·0 comments

[untitled]

1 points·by ashobeiri·vor 3 Jahren·0 comments

Show HN: Vizly – Query and visualize your data in seconds

vizly.fyi
24 points·by ashobeiri·vor 3 Jahren·5 comments

Use GPT-4 to reply to your text messages [video]

twitter.com
5 points·by ashobeiri·vor 3 Jahren·1 comments

[untitled]

1 points·by ashobeiri·vor 3 Jahren·0 comments

comments

ashobeiri
·vor 2 Jahren·discuss
This is really exciting. Happy to see someone building an open source solution in this space
ashobeiri
·vor 2 Jahren·discuss
This is really cool, looking forward to trying it out. Love the name as well
ashobeiri
·vor 3 Jahren·discuss
Hi folks,

My friend Sami and I recently built Vizly, a Mac application that allows anyone to query their databases using plain English.

Vizly is built on Llama 2, llama.cpp, and runs fully on-premise.

We are running two Llama models, one for natural language to SQL translation, and another that uses the results from the SQL to render visualizations. That means there are no external APIs and all the AI models are running locally on your MacBook.

We tried to make Vizly very easy to share as well. Every Vizly instance creates a share link that can be accessed by anyone on the same network as you. Just send the share link to anyone on the same network and they will be immediately able to run AI-powered queries, hosted from your device.

Would love if you could try it out and give us any feedback!
ashobeiri
·vor 3 Jahren·discuss
My friend Krish and I recently built MiniMe, a GPT-4 text assistant that learns from your messages and can be used to reply on your behalf on any platform (iMessage, WhatsApp, Twitter, LinkedIn, etc).

You can toggle AI autoreply on for specific conversations and be notified if there's a specific task you need to action.

Will the future be AI chatbots talking to other AI chatbots?

Built as plugin on top of Texts (https://texts.com/) in collaboration with Krish Shah (https://twitter.com/KrishRShah) with lots of help from Kishan Bagaria (https://twitter.com/kishanbagaria)

Would love to hear your feedback!