Anthropic AI Hackathon

You have one last chance to register for the event, and be the first to meet Claude from Anthropic

 Closing of Registration

Welcome to the 7 days of creation with TOP model on the market! We will start with intro from lablab.ai team!

Hackathon Opening

We will dive into the rules to get an access to Anthropic. Stay tuned!

Rules and API access

The tech overview on the Claude AI Assistant and tech tutorials recommendations for you.

Meet Anthropic's Claude

We will go through profile creation, team formation, communication with Mentors and more.

Getting around Discord and the Platform

Join OpenVoice Channel for Mentorship session about business strategy, bringing first users, fin strategy and more.

Mentor Session: Pawel Czech

Hurry up! That's the last time to be able to get access to Claude AI Assistant!

Deadline to submitting access form

It's the deadline to submit your projects!

The time is OVER!

Ai Coder

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It supports using plugins to call external resources (such as internet search and knowledge base retrieval) and modifying the results returned (generating images and code, etc.)
The powerful AI capabilities are used as the core CPU of the system for data analysis and task processing. Before sending messages to the AI, interception can be done to add additional information such as relevant knowledge base information (such as hwchase17/langchain), network search information, and even adjusting the request data to support multi-modal recognition. For example, image information can be parsed by other tools and analyzed by Claude after obtaining the corresponding information. After the AI responds to the question, the response result can also be processed again, such as using Stable Diffusion for image drawing or using Gmail's API for email sending.
To enhance the flexibility of the implementation, Hooks are used to achieve corresponding capabilities. Before and after the user's information is handed over to Claude for processing, chat information is passed to plugins for processing. The pre-processor can modify the user's question to add context information or even directly modify the question. After that, the pre-processor submits the processed information to Claude in a specific format. Once Claude returns the information, the post-processor can analyze and process the response or call APIs from other platforms to process tasks. In this case, we need to adjust the Prompt in the pre-processor so that Claude returns Action-formatted data.
{
    "type": "createMail",
    
    "payload": {
        "content": "xxx",
        "target": "fo@xx.com",
        "platform": "google"
    }
}

This is a web-based chat tool that provides various assistance through Claude. It supports using plugins to extend its functionality. [Due to time constraints, it was not completed]

"Ai Coder team on Anthropic AI Hackathon Hackathon"

Team Idea

Submission