From Data to Dialogue: Enhancing Human-Like Memory in AI Chatbots with RAG and Advanced Engineering

Presentation Description

We delve into the innovative integration of Retrieval-Augmented Generation (RAG) and advanced engineering techniques to create a more human-like AI chatbot. We explore how the solution leverages saliency, recency, and emotional weight to remember relevant information while selectively forgetting unimportant details, mirroring the phenomenology of human memory. We demonstrate the chatbot’s enhanced ability to provide contextually rich and personalized interactions. Attendees will gain a comprehensive understanding of the underlying technologies and practical applications that make this AI assistant a groundbreaking advancement in conversational AI.

Presentation Details

Date:
Sunday (11/10/24)
Time:
3:30 PM
Location:
Downstairs Classroom – New Orleans Jazz Museum

Presenter Biography

Rick Montgomery
Rick Montgomery is an ML Engineer with a multidisciplinary background spanning biophysics, computer science, chemical engineering, fintech, and AI consulting. He earned his Ph.D. in Physics from the University of Oregon in 2014 and has been dedicated to advancing AI/ML technologies ever since.