Next Hackathon
AMD AI League
Starts Sep 1, 2026
Be one of the community of people passionate about building great apps with the newest AI models on the market and huge value!
Try new models first!
Learn and interact with AI leaders!
Find your like minded people!
Anthropic’s Constitutional AI training approach research focuses on developing AI systems safe by design and aligned with human values. By prioritizing safety, we can create strong and corrigible AI systems that are safe for humans to use.
Claude is your friendly and versatile AI language model that can assist you as a company representative, research assistant, creative partner, or task automator.
Claude Early Access
Please complete the Early Access form using the same email with which you registered for the event.
The challenge for this hackathon is to build an AI product incorporating Anthropic's Claude. Ideal use cases include Customer Service, Legal, Coaching, Search, Back-Office, and Sales. Each team that submits complete project will be eligible to keep access to API.
Claude is a versatile AI language model that can be integrated into any product or toolchain, offering natural conversations, answer generation, text processing, and workflow automation. To gain access to Claude, please complete the Early Access form using the same email you registered with for the event. Remember, the API keys are for evaluation purposes only, and commercial use is not permitted.
Stable Diffusion is a latent text-to-image diffusion model capable of generating stylized and photo-realistic images.
An encoder-decoder architecture model is a powerful speech recognition and translation model trained on massive amounts of multilingual data. It can also identify languages, provide phrase-level timestamps, and transcribe multilingual speech to text.
A text embedding model, represents text meaning as numbers, which can effectively handle multiple languages.
Sandbox, an open-source platform by Cohere, provides access to GitHub repositories to help developers quickly build ML apps without requiring ML experience.
Join lablab.ai and Anthropic for the a week to innovate and build you application with the best LLM on the market! Find all the relevant details below.
The hackathon will take place from May 26 till June 2. 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.
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.
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
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 and Getting Started Guide.
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!
Learn about the winning projects from previous hackathons that included various AI models in their builds.
The smart Slack bot that implements multilingual semantic search and sentiment analysis to facilitate multi-language messaging platforms by improving the chat search function.
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.
Summit helps you search and summarize research papers to quickly get an overview of what the research says, saving you time and effort in your quest for knowledge.
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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.
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.
Once the results are announced, organizers will contact the winning teams to gather delivery details. You'll be able to choose if the prize goes to the team or is split among members.
Please note, it might take us up to 90 days to distribute the prizes, and we'll work to get them to you as quickly as possible! Your innovation deserves celebration, and we're here to make that happen! 🎉
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!
Feel free to reach us on social media, or through our Discord channel.
Next Hackathon
AMD AI League
Starts Sep 1, 2026