Show HN: Program ESP32s in Nim
4 by elcritch | 1 comments on Hacker News.
Saturday, 30 September 2023
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Show HN: A map that tells you if a NYC cafe has WiFi, a restroom, and an outlet
13 by asimova | 3 comments on Hacker News.
I am slowly adding more locations now. This is intended to be a crowdsourced map. Everyone is welcome to add more locations and provide comments/votes here. Free people from going to a cafe for work only to leave because there's no wifi, restroom, or outlet!! Demo: https://ift.tt/GgMBWib
13 by asimova | 3 comments on Hacker News.
I am slowly adding more locations now. This is intended to be a crowdsourced map. Everyone is welcome to add more locations and provide comments/votes here. Free people from going to a cafe for work only to leave because there's no wifi, restroom, or outlet!! Demo: https://ift.tt/GgMBWib
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Show HN: Noisy Nest Free white/pink/brown noise generator
3 by kuczmama | 0 comments on Hacker News.
Hi All, i was playing around with GPT-4 today, and threw together a simple noise generator. It can play pink, brown, and white noise indefinitely. I spent maybe an hour creating this. It's quite amazing what you can do with such little time with AI. Let me know if you think of any features to add, and i'll consider adding them to make this more useful.
3 by kuczmama | 0 comments on Hacker News.
Hi All, i was playing around with GPT-4 today, and threw together a simple noise generator. It can play pink, brown, and white noise indefinitely. I spent maybe an hour creating this. It's quite amazing what you can do with such little time with AI. Let me know if you think of any features to add, and i'll consider adding them to make this more useful.
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Show HN: Stargazers Reloaded – LLM-Powered Analyses of Your GitHub Community
4 by jarulraj | 1 comments on Hacker News.
Hey friends! We have built an app for getting insights about your favorite GitHub community using large language models. The app uses LLMs to analyze the GitHub profiles of users who have starred the repository, capturing key details like the topics they are interested in. It takes screenshots of the stargazer's GitHub webpage, extracts text using an OCR model, and extracts insights embedded in the extracted text using LLMs. This app is inspired by the “original” Stargazers app written by Spencer Kimball (CEO of CockroachDB). While the original app exclusively used the GitHub API, this LLM-powered app built using EvaDB additionally extracts insights from unstructured data obtained from the stargazers’ webpages. Our analysis of the fast-growing GPT4All community showed that the majority of the stargazers are proficient in Python and JavaScript, and 43% of them are interested in Web Development. Web developers love open-source LLMs! We found that directly using GPT-4 to generate the “golden” table is super expensive — costing $60 to process the information of 1000 stargazers. To maintain accuracy while also reducing cost, we set up an LLM model cascade in a SQL query, running GPT-3.5 before GPT-4, that lowers the cost to $5.5 for analyzing 1000 GitHub stargazers. We’ve been working on this app for a month now and are excited to open source it today :) Some useful links: * Blog Post - https://ift.tt/w0JcrRp... * GitHub Repository - https://ift.tt/xb7EJpw * EvaDB - https://ift.tt/EU8GKBb Please let us know what you think!
4 by jarulraj | 1 comments on Hacker News.
Hey friends! We have built an app for getting insights about your favorite GitHub community using large language models. The app uses LLMs to analyze the GitHub profiles of users who have starred the repository, capturing key details like the topics they are interested in. It takes screenshots of the stargazer's GitHub webpage, extracts text using an OCR model, and extracts insights embedded in the extracted text using LLMs. This app is inspired by the “original” Stargazers app written by Spencer Kimball (CEO of CockroachDB). While the original app exclusively used the GitHub API, this LLM-powered app built using EvaDB additionally extracts insights from unstructured data obtained from the stargazers’ webpages. Our analysis of the fast-growing GPT4All community showed that the majority of the stargazers are proficient in Python and JavaScript, and 43% of them are interested in Web Development. Web developers love open-source LLMs! We found that directly using GPT-4 to generate the “golden” table is super expensive — costing $60 to process the information of 1000 stargazers. To maintain accuracy while also reducing cost, we set up an LLM model cascade in a SQL query, running GPT-3.5 before GPT-4, that lowers the cost to $5.5 for analyzing 1000 GitHub stargazers. We’ve been working on this app for a month now and are excited to open source it today :) Some useful links: * Blog Post - https://ift.tt/w0JcrRp... * GitHub Repository - https://ift.tt/xb7EJpw * EvaDB - https://ift.tt/EU8GKBb Please let us know what you think!
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Show HN: A tool to help optimise your system prompt
2 by rcushen | 0 comments on Hacker News.
I needed a way to choose between different system prompts for a ChatGPT-powered side project, so I built Prompt Picker. The basic idea is: specify some candidate system prompts and a few example user inputs, and then run a blind experiment where you choose the better output from pairs of generations. If you need to optimise the system prompt for your LLM-powered application, give it a try and let me know what you think.
2 by rcushen | 0 comments on Hacker News.
I needed a way to choose between different system prompts for a ChatGPT-powered side project, so I built Prompt Picker. The basic idea is: specify some candidate system prompts and a few example user inputs, and then run a blind experiment where you choose the better output from pairs of generations. If you need to optimise the system prompt for your LLM-powered application, give it a try and let me know what you think.
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