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!

use plugins and memory stream to enhance the LLMs ability

AI enhancement plan

lyle

I propose an open plugin architecture that allows language models to access external data and capabilities through plugins. Language models today are limited to their training data, but real-world AI requires access to vast, disparate data sources. An open plugin architecture addresses this by enabling plugins for search and more.
The architecture defines an interface for creating and installing plugins. Developers can then create plugins accessing proprietary data, open data, and online services. The plugins run externally but programmatically interact with the language model, feeding data and retrieving responses.
This idea came from the need to extend language models beyond their training data. The open architecture means the capabilities of models can grow over time through the development of new plugins. This has the potential to make language models much more useful and scalable.

Open Plugin enabling language models to utilize external data and capabilities through plugins such as search, question answering, and commonsense reasoning.

"AI enhancement plan team on Anthropic AI Hackathon Hackathon"

Team Idea

Submission