Generative AI and Large Language Models (LLMs) hold immense potential, but their tendency to "hallucinate" – confidently producing incorrect information – can limit their effectiveness. This webinar will demonstrate how integrating a semantic layer, like Cube Cloud, provides the critical context LLMs need to accurately interpret and interact with your data. Join us to learn how Cube's semantic layer and AI API can help you build more reliable, secure, and cost-effective AI applications.
Key Takeaways:
- Understand the challenge of AI hallucinations and their impact on data-driven applications.
- Learn how a semantic layer provides context and structure to data, enabling LLMs to generate accurate insights.
- Witness a practical demonstration of text-to-semantic layer queries solving complex data access problems with improved accuracy.
- Get a sneak peek at Cube Copilot, an AI-powered assistant designed to simplify data model creation and maintenance within Cube Cloud.