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

Session 4

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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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