Join us to explore the dual themes of agent evaluations and EvalOps in this comprehensive technical session. This webinar will focus on how to effectively integrate cost-effective LLM judges into AI systems, enhancing the precision and efficiency of agent decisions and overall LLM evaluations. You’ll learn about the strategic application of EvalOps and agent-specific evaluations, balancing accuracy, speed, and cost, backed by practical case studies.
 

Key Takeaways:

1. Gain insights into both specific agent evaluations and general LLM evaluations through EvalOps.
2. Discover strategies to optimize both agent performance and overall system evaluations.
3. Examine case studies demonstrating successful implementations of agent evaluations and EvalOps.
4. Learn how to maintain budget control while maximizing performance and accuracy.

 

This webinar is designed for ML engineers and data scientists looking to deepen their expertise in sophisticated AI model management.

 

 

PRESENTED BY:

Ari Heljakka

Ari Heljakka
Founder & CEO
Root Signals

Ari is the Founder and CEO of Root Signals. In 2005, he identified Artificial General Intelligence (AGI) as a pivotal goal and collaborated with early pioneers in cognitive architecture, reinforcement learning, and probabilistic inference from 2005 to 2007.

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.