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.
Mitigation Techniques: Strategies to address and reduce the lag in data updates.
RAG Integration: How Retrieval Augmented Generation (RAG) helps enhance the reliability and currency of AI outputs.
Industry Standards: Best practices and standards for maintaining up-to-date and accurate information.
Upcoming Sessions in this Series
Session 5: Nov 20 - The Practical Reality of AI and Large Language Models (LLMs) in Transforming Business Operations
Session 6: Dec 4 - Vendor AI Strategies and Challenges: Lucidworks, Coveo, OpenSearch, and Algolia
Session 7: Dec 18 - Stories of AI Impact on Real Peoples’ Lives and Livelihoods: The AI Gift that Keeps on Giving
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Meet The Speaker
Seth Earley
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.
Meet The Speaker
Patrick Hoeffel
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."