AI Agents Hackathon

Join the AI Creative Challenge!

Join our vibrant community of like-minded individuals who are passionate about building exceptional apps using the latest AI models available on the market.

Create your AI agent!: Unleash your boundless creativity in just 48 hours! This is your opportunity to push your limits and showcase your skills when faced with a time constraint. Let's see what you're capable of!
Harness open source AI models: Explore the vast realm of open-source AI models with our comprehensive tutorials. Whether you're an experienced professional or a novice in the field of AI, these models are designed to be user-friendly and accessible to individuals from all programming backgrounds.
Connect with like-minded enthusiasts: This is the perfect chance to connect with individuals who share your passion for technology and using AI to drive positive change. Who knows? You might even encounter your future co-founder, partner, or enthusiastic users right here!

Make your AI agent

We're going to build an AI-powered assistant that can solve real world problems, in just 48 hours! Your app can be the next game changer in the tech world - it's worth a try!

Enroll now!

Make your AI agent AutoGPT Hackathon, Challenge

The Challenge

Are you ready to showcase your AI skills? Join our 48-hour Hackathon challenge and create your very own AI agent using open-source models!

Gather a team of up to 6 members and submit a ready-to-play MVP within the deadline. Get creative and take on real-world problems, who knows, your project may even have the potential to go beyond the Hackathon!

🏆 Prizes

The winning team and finalists teams will receive lablab.ai swag
Mentors' Choice: 1-hour mentor session with Yohei Nakajima, the BabyAGI creator

Are you ready to showcase your AI skills? Join our 48-hour Hackathon challenge and create your very own AI agent using open-source models!

Hackathon Technology

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.

👉 LangChain GitHub repo

Auto-GPT

An open-source app powered by the cutting-edge GPT-4 language model, chaining LLM "thoughts" to autonomously achieve your goals and push the limits of AI.

👉 LangChain Implementation

BabyAGI

AI-powered task management system that uses OpenAI and Pinecone APIs to create, prioritize, and execute tasks.

👉 LangChain Implementation

CAMEL

Have multiple agents communicate with each other through role playing.

👉 LangChain Implementation

Generative Agents

Give an agent long term memory that adapts with reflection over time.

👉 LangChain Implementation

Other resources

👉 Auto-GPT GitHub repo

👉 BabyAGI GitHub repo

👉 CAMEL GitHub repo

Additionally, you can use:

Stable Diffusion

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

GPT-4

OpenAI's GPT-4 is the fourth-generation language model with even more parameters than GPT-3, enabling advanced text generation similar to human language. It is currently not publicly available.

Codex

OpenAI Codex is an AI model that parses natural language and generates code. It powers GitHub Copilot, an auto completion tool, and is based on GPT-3. It has been trained on 159 GB of Python code from 54M GitHub repos.

Whisper

Whisper is a powerful speech recognition and translation model trained on 680,000 hours of multilingual data. It uses an encoder-decoder architecture to convert audio into text and it also supports language identification, phrase-level timestamps, and multilingual transcription.

DALL-E 2

DALL-E 2 is a 3.5B parameter generative language model that creates images from sentences. Its images are 4x better in resolution than its predecessor, with human judges preferring it to DALL-E 70% of the time.

ChatGPT

ChatGPT is a text-generating AI model trained on conversations and other human-generated text. It can generate responses, code, make suggestions and provide information in a natural conversational style. It was trained using RLHF and supervised fine-tuning with human AI trainers.

Cohere Generate

Generate is a language model for writing and summarizing text, correcting spelling/grammar, and extracting entities.

Cohere Classify

Use Classify to quickly organize data by labeling text, performing content moderation, detecting user intent, classifying topics and analyzing sentiment.

Cohere Embed

Embed lets AI read Reddit posts about your company and show results in a graph. It also offers semantic search, topic modeling, and recommendations.

Multilingual Semantic Search

Text embeddings are key to machine language understanding, representing text meaning as numbers through an embedding model. Multilingual models can handle multiple languages effectively.

Sandbox

Sandbox provides open-source GitHub repos to quickly build ML apps with Cohere. It's easy for any developer, no ML experience required.

AI21 Labs

Platform for building AI applications. Access powerful language models with API. No NLP expertise needed.

Autonomous GPT Agents Hackathon

Join lablab.ai for the 48-hours challenge to innovate and build your AI agent with Open Source AI models. Find all the relevant details below.

🗓️ Where and when

The hackathon will start on June 9th. Over these 48 hours, 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.

🦸🏼‍♂️ 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.

😅 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

🛠️ 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.

MarkU - Automatic Marketing

MarkU is an innovative automated content marketing solution that streamlines your marketing efforts using AI-driven technology.

ETHOS

Evaluating Trustworthiness and Heuristic Objectives in Systems - is a groundbreaking project that addresses the critical issue of AI alignment. As AI continues to evolve and become increasingly sophisticated, it is becoming increasingly clear that alignment is one of the most significant challenges we face in developing this technology.

GPT-Swarm

GPT-Swarm is a groundbreaking project that combines swarm intelligence and advanced language models to tackle complex tasks across diverse domains. Our innovative framework is robust, adaptive, and scalable, outperforming single models by leveraging the power of collective problem-solving and distributed decision-making.

Speakers, Mentors and Organizers

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.

What is an AI agent?

An AI agent is a software program that uses artificial intelligence techniques, such as machine learning and natural language processing, to perform a specific task or set of tasks. It can operate independently or collaborate with humans to achieve a common goal. Put simply, it's an intelligent program that can think and act on its own to complete a task.

What is an example of an AI agent?

A virtual personal assistant such as Siri, Alexa or Google Assistant is a great example of an AI agent. These assistants use natural language processing to comprehend requests and complete tasks like setting reminders, making phone calls, sending messages, and answering questions.

They work independently, improving their performance over time with AI algorithms. Chatbots are another example of AI agents that can provide customer service and support through conversation.

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!