Is my AI Assistant Lying to Me? Accuracy in Generative AI

Session 4

November 6, 2024 @ 1:00 PM ET | 10:00 AM PT

Address the recency challenge faced by generative models in delivering up-to-date information. Understand the lag in data updates and discuss methods to mitigate these issues. Explore the role of Retrieval Augmented Generation (RAG) in enhancing the reliability and currency of generative AI outputs. Delve into the practical applications and industry standards for maintaining information freshness and accuracy.

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Topics We'll Cover

In this session, we tackle the critical issue of maintaining current and reliable information in generative AI models.

Understanding Recency Challenges: Identifying why generative models often lag in providing the latest information.

We'll explore why generative models can lag in delivering the most current information and how this affects their reliability.

Mitigation Techniques: Strategies to address and reduce the lag in data updates.

Learn about proven strategies for minimizing data lag and keeping AI-generated content timely.

RAG Integration: How Retrieval Augmented Generation (RAG) helps enhance the reliability and currency of AI outputs.

Discover how Retrieval Augmented Generation (RAG) enhances the currency of generative models by integrating real-time data retrieval, making AI outputs more dependable.

Industry Standards: Best practices and standards for maintaining up-to-date and accurate information.

We will discuss best practices and emerging industry standards that ensure AI models provide fresh and accurate information across various sectors.

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Seth-Earley-CEO-Earley-Information-Science

Meet The Speaker

Seth Earley

Founder & CEO
Earley Information Science

An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions.

Seth has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance by making information more findable, usable and valuable through integrated enterprise architectures supporting analytics, e-commerce and customer experience applications.

Headshot Patrick Hoeffel-1

Meet The Speaker

Patrick Hoeffel

Managing Partner
Patrick Hoeffel Partners

Pat is an Experienced Leader and Technologist with deep Consulting and Professional Services experience covering AI, Cloud, Enterprise Search, Knowledge Management, and Data Intelligence for eCommerce, Knowledge Management, Financial Services, Insurance, Defense, and International markets. He is also a Leader in Partner and Alliance development and enablement, and in bringing innovative Product solutions to market through both internal development and partner integration.

"I've always had a passion for taking data and turning it into actionable intelligence from which quality decisions can be made and quality products and services can be offered."