RAGs to Riches: Document Rich LLM Assistants

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Start: 2:00PM
End: 2:30PM
Friday, March 8, 2024
KPMG Stage
407 9 Ave SE, Calgary, AB
Calgary, AB T2G 2K7
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About This Talk

Retrieval-augmented generation systems represent a groundbreaking fusion of technology, offering unparalleled benefits to both the industrial and academic sectors. This comprehensive presentation is dedicated to exploring the intricate process of constructing these advanced systems through the utilization of open-source technologies and managed solutions. It delves into the art of seamlessly integrating various supplementary components to enhance functionality and efficiency.

Furthermore, the presentation will provide an in-depth analysis of the potential challenges and issues that may emerge from the implementation of these systems, offering insights into navigating these complexities effectively.

This exploration not only highlights the technical aspects but also underscores the transformative impact these systems can have on the landscape of information processing and knowledge dissemination. This presentation is targeted at beginner to intermediate level and is aimed at multiple industries.

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Scott Poulin

Global Head of AI/ML, Improving
Global Head of AI/ML
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Scott Poulin

Global Head of AI/ML, Improving
Global Head of AI/ML

Scott Poulin is the Global Head of Artificial Intelligence and Machine Learning for Improving. Scott holds the AWS Black Belt AI/ML, GCP ML Engineer and Data Engineer, Azure AI Engineer and Data Scientist Certifications. Scott has over 15+ years of experience in software engineering and 10+ years of machine learning experience. Scott has worked in various industries ranging from transportation, education, financial, medical, and non-profit. Scott and his team at Improving have built numerous AI/ML systems including RAG systems for various clients all over the world. Improving and Scott’s goal is to help companies, academic institutions, and individuals become better at implementing effective AI/ML systems.