Llama Impact Hackathon

Address real world challenges using Llama 3.2 models

🚀 Take your chance and build a proactive AI solution.

🌟 Expert mentors will guide you every step of the way.

🤝 Work alone or form a team to build something extraordinary.

💰 $15,000 prize pool for the winners!

🌉 Join us online or in person in San Francisco for an unforgettable experience!

🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!

Apply for a seat

Llama Impact Grant

Unlock a $100,000 Opportunity with Meta's Llama 3.1 Impact Grant

Hackathon participants from this event will be eligible to apply for a grant to receive up to $100,000 through the Llama Impact Grants program. This grant is dedicated to empowering the best innovators by providing the resources needed to further develop and iterate on their groundbreaking projects. Don't miss the chance to take your idea to the next level!

About Llama 3.2

Llama 3.2 is Meta’s latest advancement in open-source large language models (LLMs), designed to make AI more accessible across various platforms and tasks, especially with its new multimodal capabilities. This version focuses on lightweight models optimized for edge devices, while also introducing the ability to process both text and images, broadening the scope of AI applications.

Multimodal Processing 📝🖼️
• Llama 3.2 handles both text and image inputs, perfect for tasks like document analysis, image captioning, and visual question answering.

Lightweight Models for Edge Devices 📱⚙️
• Optimized 1B and 3B models enable real-time AI on mobile and IoT devices, with 12K token support and compatibility with Qualcomm and MediaTek hardware.

Vision-Centric Models 👁️🤖
• The 11B and 90B models bring vision capabilities to Llama, enabling applications like augmented reality (AR) and advanced image recognition.

On-Device AI 💻🔋
• These models efficiently run on ARM-based devices, providing powerful AI in mobile and edge environments without relying on cloud infrastructure.

Join the on-site event in San Francisco

For those joining the hackathon on-site, we’re thrilled to welcome you to the MindsDB venue in San Francisco, CA, for this unique event organized by lablab.ai! Here, you’ll gain exclusive access to top mentors, collaborate with a passionate AI community, and access on-site support to bring your AI ideas to life.

Llama Impact Hackathon on-site event is co-hosted with MindsDB, whose powerful integration technology allows participants to connect to diverse data sources effortlessly, from traditional databases to APIs, without the complexity of ETL pipelines. Leveraging MindsDB’s real-time SQL translation and seamless AI/ML framework, you’ll be empowered to unlock your data’s full potential and create intelligent, real-time solutions.

Don’t miss out—apply for a seat to secure your spot and join in person or online! ✨

Apply to take a seat!

To participate in our hackathon, you need to complete the application process. This applies to both online and onsite participants.

🌐 Online Participation

- Apply for a seat to enroll in the Hackathon
- Fill out the registration form
- Participate remotely from anywhere in the world

🌉 Onsite Participation in San Francisco

- Must be present in San Francisco during the event
- Individual applications welcome
- Option for onsite matchmaking

⚠️ Important Note for All Participants

Whether you're joining us online or onsite, all participants must complete these steps:

1. "Apply for a seat" on the lablab.ai event page and wait to be approved.

2. Fill out registration form for Online or/and Onsite event.
3. Create or join a team
4. Submit your project through the lablab.ai platform

Hackathon Challenge

Join this hackathon to tackle real-world challenges using Meta’s Llama 3.2

This event is part of the global Llama 3.1 Impact Grant series, giving participants the opportunity to indicate their participation on their Llama 3.1 Impact Grant application. By doing so, you’ll be eligible to compete in an additional specialized "Regional" track within the grant program. If you’re interested in applying for the Llama 3.1 Impact Grants, we recommend submitting your application after participating in the event.

For more details on the Llama 3.1 Impact Grants, visit: Llama Impact Grants.

Suggested Technologies

Llama 3

Explore Meta Llama 3, the next generation of state-of-the-art open-source large language models, offering groundbreaking features and enhanced performance.

👉 Read more about Llama 3

Llama 3.1

Llama 3.1 is an open-source, advanced LLM by Meta AI. Optimized for NLP tasks, it offers various model sizes and focuses on transparency, safety, and accessibility.

👉 Read more about Llama 3.1

Llama 3.2

Llama 3.2 by Meta is an open-source LLM with multimodal capabilities, processing text and images. It's optimized for edge devices, making AI more accessible across platforms and tasks.

👉 Read more about Llama 3.2

LlamaIndex

LlamaIndex connects data sources to large language models, providing tools to ingest, index, and query data for building powerful AI apps augmented by your knowledge.

👉 Read more about Llamaindex

AutoGen

AutoGen is an open-source framework simplifying the creation of multi-agent systems using LLMs, enabling coordinated AI interactions with humans and tools.

👉 Read more about AutoGen

Together AI

Together AI is AI cloud platform which drives AI innovation. It contributes to open-source research, empowering developers to deploy AI models.

👉 Read more about Together AI

Benefits from Our Partners

Hey builders!

Exciting news for teams participating in this hackathon! Our partners are offering exclusive benefits to help jumpstart your AI projects.

🚀 Get Together AI credits!

Together AI offers an exciting opportunity to access cutting-edge tools like blazing-fast inference engines, advanced fine-tuning capabilities, and scalable GPU clusters, all designed to accelerate AI innovation while ensuring privacy and performance. Participants of this Hackathon will get $50 in API credits to boost their AI projects!

• Access credits by signing up through the form that will be shared on the day of the hackathon, September 13th.
____________________________________________________________________________________________________________________________

Important Notes:

• Credits are provided by our Partners and are subject to their delivery.
• Lablab is not responsible or liable if Partners does not provide the credits.

🎁 Don’t miss out on this amazing opportunity. Gather your team and sign up now! ⏳✨

On-site prizes

🥇

Winner:

💰 Cash: $5,000

🥈

2nd Place:

💰 Cash: $3,000

🥉

3rd Place:

💰 Cash: $2,000

Online prizes

🥇

Winner:

💰 Cash: $3,000

🥈

2nd Place:

💰 Cash: $1,500

🥉

3rd Place:

💰 Cash: $500

Please be aware that participation in lablab.ai hackathons is voluntary and subject to the specific rules and conditions outlined for each event. While we strive to provide a fair and rewarding experience for all participants, we cannot guarantee entry or success in securing prizes. All prizes and opportunities are subject to availability and participants must meet the established criteria to qualify. lablab.ai is not responsible nor held liable for any commitments or offers - including programs, giveaways, or prizes - made by third-party sponsors or partners of the hackathon. The availability and delivery of third-party prizes or benefits are solely at the discretion of the respective sponsors and are not guaranteed by lablab.ai. We reserve the right to make amendments, modifications, or cancellations to any part of the hackathon (including full cancellation of the event itself), including prizes and terms of participation, at our sole discretion. Whenever possible, we will endeavor to notify participants of significant changes within a reasonable timeframe. All submissions by participants must be original work, open source, and compliant with the MIT License unless specified otherwise. By participating, you agree to these terms, the overall event terms, and the lablab.ai general terms and are encouraged to review all event-related information carefully. Prize Distribution: lablab.ai and its partners reserve the right to distribute all prizes within a 90-day period following the end date of the hackathon. This period allows for the proper processing and verification needed to award prizes appropriately.

What to submit?

📋 Basic Information

• Project Title

• Short Description

• Long Description

• Technology & Category Tags

📸 Cover Image and Presentation

• Cover Image

• Video Presentation

• Slide Presentation

💻 App Hosting & Code Repository

• Public GitHub Repository

• Demo Application Platform

• Application URL

For further details and guidance, please visit Submission Guidelines

Judging Criteria

Application of Technology

How effectively the model(s) are integrated, focusing on the agent's ability to perform tasks autonomously, automate processes, work efficiently, and maintain high productivity.

Presentation

The clarity and effectiveness of the project presentation, ensuring the solution is well-communicated and its technical details, business value, and originality are easily understood.

Impact

The agent's impact and practical value, considering how well it fits into business areas and enhances human-agent collaboration to improve business processes and outcomes.

Originality

The uniqueness and creativity of the solution, highlighting innovative approaches and the agent's ability to demonstrate imaginative and distinctive behaviors.

Hackathon Details

Join lablab.ai hackathon and innovate using the latest models in the market. Discover all the relevant details below.

🗓️ Where and when

The hackathon begins on the date listed on the hackathon page and schedule. You can participate online via the lablab.ai platform and Discord server, or join us in person in San Francisco to experience the event live.

🦸🏼‍♂️ Who can join?

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.

😅 What 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.

🛠️ How to participate

Whether you're joining us online or in San Francisco, register on the lablab.ai platform and click the "Apply for a seat" button at the bottom of the page to secure your spot. Join lablab.ai Discord Server and read our Hackathon Guidelines 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!