Llama 3 Hackathon

Get ready for an exciting adventure in app development with Llama 3 - join us for our online AI hackathon!

⌚ Dive into a 48-hour journey of creativity.

🚀 Compete to craft an app supercharged by Llama 3.

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

🏆 Win an opportunity to participate in the Lablab NEXT acceleration program.

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

Enroll now!

About Llama 3

Introducing the New 8B and 70B Parameter Llama 3 Models

Llama 3 represents a major leap over Llama 2, establishing a new state-of-the-art for large language models (LLMs) at these scales.

• State-of-the-Art Performance: Best models available today at the 8B and 70B parameter scale.

• Enhanced Pretraining and Post-Training:

• Substantially reduced false refusal rates.

• Improved alignment and increased diversity in model responses.

• Improved Capabilities:

• Enhanced reasoning.

• Advanced code generation.

• Better instruction following.

• Greater Steerability: More controllable and adaptable model responses.

Hackathon Challenge

Join Our Intensive 2-Day Virtual Hackathon!

Focus: Developing AI Solutions with Llama 3

• Experience: Hands-on integration of cutting-edge technology.
• Impact: Create meaningful and impactful applications.
• Open to All: Welcoming participants of all skill levels.
• Learn and Grow: Dive into advanced AI capabilities and expand your expertise

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 👉 https://lablab.ai/tech/llama3

• Weaviate

Weaviate is an open-source vector database that enables you to store data objects and vector embeddings from your preferred ML models. Moreover, it offers smooth scalability for handling billions of data objects.

Read more 👉 https://lablab.ai/tech/weaviate

• Qdrant

Qdrant is a high-performance search engine and database designed specifically for vector similarity. Written in Rust, Qdrant offers fast and reliable performance even under high load, making it an ideal choice for applications that demand speed and scalability.

Read more 👉 https://lablab.ai/tech/qdrant

• Redis

Redis provides access to mutable data structures such as strings, hashes, lists, sets, and sorted sets. These data structures can be manipulated using a variety of commands that are sent over a simple protocol using TCP sockets.

Read more 👉 https://lablab.ai/tech/redis

Prizes

🏆 A fast-track to your interview for the Lablab NEXT acceleration program

Competitors can win prizes in two exciting categories:

🌟 Using Llama-3 through API

🌟 Using Llama-3 locally

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.

Judging Criteria

Application of Technology

How effectively the chosen model(s) are integrated into the solution.

Presentation

The clarity and effectiveness of the project presentation.

Business Value

The potential impact and practical value of the solution.

Originality

Uniqueness and creativity in addressing the challenge.

Hackathon Details

Join lablab.ai for a 2 day hackathon and innovate using the latest models in the market. Discover all the relevant details below.

🗓️ Where and when

The start date of the hackathon is mentioned according to the date specified on the hackathon page, cover and schedule. The hackathon will take place on the lablab.ai platform and lablab.ai Discord server.

🦸🏼‍♂️ 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

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.

🧠 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!

Event Schedule

To be announced

Add to Google Calendar Twitch channel

Enrolled