10 Critical LLM Blunders - Detect and Fix with LLM Judges

Dive deep into the intricacies of LLM-based applications with this comprehensive technical webinar. Join our expert speakers, who have spent the majority of the last three years analyzing and addressing failure modes in LLM systems across various industries.

This session guides you through detecting, blocking, and remedying the most common yet critical errors that undermine the reliability of AI applications. It is tailored for a highly technical audience aiming to refine their approach to managing and optimizing LLM-based systems.

Watch the Recording

Watch the full technical webinar below:

Key Takeaways

• Identify Critical Blunders: Learn about the frequent and critical blunders in LLM outputs that could be affecting your systems.
• Advanced Detection Techniques: Discover cutting-edge techniques for identifying subtle yet significant errors that standard methods often miss.
• Automated Strategies: Explore automated strategies for effectively correcting detected errors, enhancing system resilience.
• Deployment & Monitoring: Understand how to deploy LLM judges for ongoing monitoring and evaluation of AI outputs.

Who Should Attend

• ML Engineers working with LLM-based applications.
• Data Scientists implementing AI systems.
• Technical Leads responsible for AI system reliability.
• DevOps Engineers managing AI/ML deployments.
• Anyone interested in LLM error detection and correction.

About the Speakers

Our expert speakers have spent the majority of the last three years analyzing and addressing failure modes in LLM systems across various industries. They bring deep practical experience in detecting, blocking, and remedying the most common yet critical errors that undermine the reliability of AI applications.