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Open Source AI Hackathon

Build your product with the best Open Source AI models!

  • πŸ”₯ 48-hours of creation
  • 🦾 Build with Open Source AI models
  • πŸš€ Tutorials and mentors to support you
  • 🀝 Collaborate with the community of AI creators!
Open Source AI Hackathon event thumbnail

Join the AI Movement!

Join the AI Creative Challenge and become a part of a thriving community of tech enthusiasts who love building cutting-edge apps with the latest AI models on the block.

Build your AI product!

Create your own AI product and get prepared to unleash your creativity in just 48 hours! This competition offers you the opportunity to challenge yourself and see what you can achieve when you are racing against time. Demonstrate your abilities!

Use open source AI models

Utilize the coolest and most up-to-date AI models out there that are open-source and easy to use. Whether you're a coding whiz or a newbie to AI, these models are for everyone who wants to have fun with AI and make something awesome!

Be a part of the community

Meet like-minded individuals who share your passion for technology and AI. Who knows, you might even find your next business partner, co-founder or user here! So, let's get it started!

Use the best AI models

Empower yourself to create a world-changing AI product by leveraging the power of the AI community at our Hackathon. With popular Open Source projects at your disposal, your visionary idea can become a remarkable reality. Let's work together to make it happen!

Make your AI agent AutoGPT Hackathon, Challenge

The Challenge

Build a unique solution that addresses real-world problems you're passionate about. You'll get to flex your creativity by using the popular Open Source AI projects listed on our page, and immerse yourself in the vibrant community of AI fans for 48 hours of pure fun. Let's do this!

Prizes

TBA

Open Source AI Models

LangChain

The LangChain library has been developed to assist developers in building applications that combine LLMs with other technologies, allowing them to create truly intelligent and innovative products.

πŸ‘‰ LangChain GitHub repo

Alpaca

Alpaca is designed to understand and execute tasks based on user instructions. The project provides a dataset, data generation process, and fine-tuning code for reproducibility.

πŸ‘‰ GitHub repo

LLaMA

LLaMA is developed by the FAIR team of Meta AI and has been trained on a large set of unlabeled data, making it ideal for fine-tuning for a variety of tasks.

πŸ‘‰ GitHub repo

CAMEL

Have multiple agents communicate with each other through role playing.

πŸ‘‰ LangChain Implementation

πŸ‘‰ GitHub repo

Grounded-SAM

Automatically Detects , Segment and Generate Anything with Image, Text, and Audio Inputs.

πŸ‘‰ Github repo

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

πŸ‘‰ Github repo

Text generation web UI

A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.

πŸ‘‰ Github repo

Tabby

Self-hosted AI coding assistant. An open source alternative to GitHub Copilot.

πŸ‘‰ Github repo

Stable Diffusion

Stable Diffusion is a latent text-to-image diffusion model capable of generating stylized and photo-realistic images.

πŸ‘‰ Github repo

Open Source AI Hackathon details

Join lablab.ai for the 24-hours challenge to innovate and build your AI agent with Open Source AI models. Find all the relevant details below.

πŸ—“οΈ Where and when

The hackathon will take place from May 5 till May 7. Over the day, you will gain unique insight from mentors, and engage in workshops, and other sessions with lablab pros. The hackathon will take place on the lablab.ai platform and lablab.ai Discord server.

πŸ¦ΈπŸΌβ€β™‚οΈ Who should participate?

Everyone is welcome to participate, regardless of previous AI or coding experience! We encourage anyone with a passion for AI or an interest in exploring how it can be used in their field to join.

πŸ˜… How about teams?

If you don't have a team, don't worry! You can connect with other participants from all over the world on our dashboard or Discord server. We also recommend checking out our Discord server to find teammates and bounce around ideas. You can join the server here

πŸ› οΈ How to participate in the hackathon

The hackathon will take place online on lablab.ai platform and lablab.ai Discord Server. Please register for both in order to participate. To participate click the "Enroll" button at the bottom of the page and read our Hackathon Guidelines, FAQ, and Getting Started Guide.

🧠 Get prepared / Use Lablab.ai to Learn About AI

To get ready for the hackathon, visit our AI Tech pages and read up on all the available technologies. You can also check out our tutorials page for more information on how to use them. Get a head start on your project by using the resources on lablab.ai!

Applications build during lablab.ai hackathons

Learn about the winning projects from previous hackathons that included various AI models in their builds.

Creator Alde

By leveraging the YouTube API, the app can efficiently read through all the comments and classify them according to their sentiment, toxic content, or spam.

WebIndexer

The question answering tool that can be easily integrated into any website. It allows you to find specific information, provides answers in a clear way, and includes sources and more information should the user need it.

Mars Mail

By using a fine-tuned GPT3.5 model, Mars Mail is specifically designed to handle bi-lingual business email situations with high accuracy, reducing the fear of incorrect grammar and language usage.

Speakers, Mentors and Organizers

  • Olesia Zinchenko
    Organizer

    Olesia Zinchenko

    Marketer

  • Mathias Asberg
    Organizer

    Mathias Asberg

    founder

    • Anastasiia Strakhova
      Organizer

      Anastasiia Strakhova

      Event Specialist at NewNative

      • Simon Olson
        Organizer

        Simon Olson

        Founder

      • Pawel Czech
        Organizer

        Pawel Czech

        Co-founder/Partner

        • Fabian Stehle
          Organizer

          Fabian Stehle

          Dev at NN

        • Liza Marchuk
          Organizer

          Liza Marchuk

          • Hai Nghiem
            Speaker

            Hai Nghiem

            Full Stack Developer

          Hackathon FAQ

          Who can join the Hackathon?

          We welcome domain experts from all industries, not just AI or tech. Successful AI solutions require a combination of technical expertise and domain knowledge. Coding experience is recommended.

          Do I need AI or coding experience to participate in the Hackathon?

          Nope! We welcome people with diverse backgrounds and skill sets to contribute to the project. Whether you have technical or non-technical experience, you're invited to join us. For those new to AI, we offer plenty of beginner-friendly tutorials that you can use to learn and get started with AI during the Hackathon.

          Do I need a team?

          You are welcome to join as a team or solo. If solo, we still encourage you to look for a team before the event, but ultimately it is your choice. We recommend you to join the Deep Learning Labs Discord channel: https://discord.gg/gCuBwBB35k and posting in the #looking-for-team channel to get to know your potential future team members.

          Do I need a Github account?

          It is recommended. At least one team member should have a Github account. You can create one for free if you don't already have one. We have recorded a 5-min guide for beginners on creating a GitHub account, feel free to check it out!

          I have other questions.

          Feel free to reach us on social media, or through our Discord channel.

          Event Schedule

          • To be announced

          Winner Submissions πŸ†

          Copilot-J

          Copilot-J

          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, we’re 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 πŸ˜‚

          Copilot-J

          Submitted concepts, prototypes and pitches

          Submissions from the teams participating in the Open Source AI Hackathon event and making it to the end πŸ‘Š

          Copilot-J

          Copilot-J

          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, we’re 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 πŸ˜‚

          Copilot-J

          DocSearch AI

          DocSearch AI

          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.

          kopi c peng

          RageGPT

          RageGPT

          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

          Pitch Analyzer

          Pitch Analyzer

          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

          Teams: Open Source AI Hackathon

          Check out the rooster and find teams to join at Open Source AI Hackathon

          Enrolled

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