10 Critical LLM Blunders - Detect and Fix with LLM Judges
Dive deep into the intricacies of LLM-based applications with this upcoming 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 will guide you through detecting, blocking, and remedying the most common yet critical errors that undermine the reliability of AI applications.
Key Takeaways:
1. Learn about the frequent and critical blunders in LLM outputs that could be affecting your systems.
2. Discover cutting-edge techniques for identifying subtle yet significant errors that standard methods often miss.
3. Explore automated strategies for effectively correcting detected errors, enhancing system resilience.
4. Understand how to deploy LLM judges for ongoing monitoring and evaluation of AI outputs.
This webinar is tailored for a highly technical audience aiming to refine their approach to managing and optimizing LLM-based systems.
Due to limited funding in AI at the time, Ari started a SaaS company Dream Broker, with the goal of funding his future AI research. Dream Broker became Finland's fastest-growing company in 2012 according to Deloitte, serving over 1,000 enterprise and public sector clients.
In 2017, Ari returned to his AI passion, identifying generative models as the field's most promising frontier and completed his Ph.D. in Generative AI in 2021. With AGI becoming a mainstream concept in 2022, he founded Root Signals to advance this vision. Ari has published 10+ academic AI articles on venues including in NeurIPS, ICLR and AAAI.
