Our AI hackathon brought together a diverse group of participants, who collaborated to develop a variety of impressive projects based on:
515
Participants
53
Teams
4
AI Applications
Mathias Asberg
founder
Anastasiia Strakhova
Event Specialist at NewNative
Pawel Czech
Co-founder/Partner
Liza Marchuk
Hai Nghiem
Full Stack Developer
This event has now ended, but you can still register for upcoming events on lablab.ai. We look forward to seeing you at the next one!
Checkout Upcoming Events βSubmissions from the teams participating in the Open Source AI Hackathon event and making it to the end π
CoPilot-J is an open-source GitHub Copilot-X an alternative for VSCode. It can chat with code, generates, explains, and refactors code using LocalAI, and is compatible with any open-source model (ggml compatible). for the implementation We have 2 main components, the first one is VS code plugin that does all the interaction, it is able to chat with models, send code to the conversation, or detect code snippets from the conversation. the second part is go-skynet/LocalAI which does all the magic of serving AI models, in this demo, weβre using wizard-lm inference to demo the plugin, but you can use any ggml model to use it. the repo is up here: https://github.com/badgooooor/localai-vscode-plugin.git PS. Initially we thought we'd use GPT4ALL-J hence the name Copilot-J π
Copilot-J
Pitch Analyzer allows you to receive a complete pitch from a startup in text format, analyzes the content, and then simulates a conversation between a potential investor and the founder of the startup, answering all questions based on the delivered pitch, or inferring an answer if You can't find the appropriate information. All this is with the intention of preparing the founders for specific questions that they may receive at this type of event if they wish to attract and receive funds for their projects. Currently, training to make good pitches for founders is complicated by time, sometimes at a cost that startups in earlier stages cannot, and sometimes not adapted to the types of startups that participate, therefore, Pitch Analyzer is the ideal solution for it.
Pitch Analyzer
Have you ever been wronged by someone, and you wanted to yell and scream at them, but you held back? You know it's not fair, but you don't want to risk the consequences. Enter RageGPT! It's an AI that lets you yell and scream at an AI of your adversary, without any consequences. You can type in all caps, swear, and say anything you want. No one will know! Or use it to practice negotiations for a pay raise or promotion. Or practice debating your boss / teacher / parent. Anything! Want to confront a former lover but not sure what to say? Try it out at RageGPT and see what happens? Great no-consequence practice for important life-changing events.
Mr Barnard Room 12
Users often struggle to find the most relevant and useful documents related to their needs due to Inefficient keyword-based search and Lack of query context. Our solution to this problem is building a tool call Doc Search AI. It is an AI Document Searching tool that addresses the shortcomings of traditional search methods and offers users a more effective and efficient way to find relevant documents by leveraging advanced AI techniques. Doc Search AI will takes users query as input, then using large language model (we use GPT2 open source model) to expand the users' document queries in more details, and use other AI techniques like keywords extraction and vectorize the search query to improve the quality of search so that the results return to users will be more relevant to what users want.
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