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!

Experimenting with a chatbot-specific long-term memory implementation that mimics the human long-term memory algorithm.

Turbulence

sanstv

charles

Before the main discussion, let's look at the long-term memory mechanism of the human brain that we imitated. We are not famous neuroscientists, so to put it briefly, information created from various information is stored in the hippocampus as 'short-term memory', and later some of this memory is stored in the cerebral cortex as 'long-term memory'. 
Multiple pieces of information are combined into new information in the hippocampus, stored as short-term memory. 
Later, parts of this short-term memory are transferred to the cerebral cortex, where they are stored as long-term memories. 
We borrowed part of this method for AI and designed this function (extension). In this method, there are two AI's: an AI (hereinafter main AI) that conducts a conversation with the user, and an AI (hereinafter auxiliary AI) used to remember the conversation. 
When a conversation between the bot and the user takes place once, the exchange between the bot and the user in one conversation is stored separately in a file. 
At this time, the auxiliary AI analyzes the stored conversation file and stores several topic clusters of the conversation together. 
Later, when the auxiliary AI analyzes the user's speech in the conversation, if there is a conversation with topics similar to the current speech in the previous conversation, the main AI is also referred to the corresponding conversation (past conversation with similar topics). 
Through this method, semi-permanent memory is stored according to local storage space.


"Long-Term Memory Extension" aims at chatbot-specific long-term memory implementation that mimics the algorithm for human long-term memory.

"Turbulence team on Anthropic AI Hackathon Hackathon"

Team Idea

Submission