AI isn't just about innovation—it's about reliability. As your AI systems power critical applications for millions of users, hallucination becomes the primary roadblock preventing your experimental AI from becoming the robust, production-ready solution your business truly needs. Learn how to conquer AI hallucination and ensure high-performing AI systems.

Find out about proven frameworks for measuring AI hallucination and implementing evaluation metrics for RAG and agentic systems with Galileo. Also, discover how Voyage AI embedding models and rerankers reduce hallucination, and how MongoDB Atlas's retrieval mechanisms enhance context quality to optimize your entire data pipeline.

Key takeaways:

The complete AI reliability framework: a systematic approach to identifying, measuring, and eliminating hallucination.
Production-Ready implementation strategies: hands-on techniques for integrating Voyage AI embeddings, MongoDB Atlas retrieval mechanisms, and Galileo evaluation pipelines into your existing AI infrastructure.
Advanced hallucination reduction techniques: proven methods for improving context relevancy through optimized retrieval strategies, reranking algorithms, and evaluation workflows.

Speakers:

Richmond Alake, AI/ML Staff Developer Advocate at MongoDB
Conor Bronsdon, Head of Developer Relations and Awareness at Galileo

Don't let AI hallucination hinder your products any longer.

Watch now.