At the recent Arc of AI Conference held from March 31 to April 3, 2025, in Austin, Texas, Aletyx’s co-founder, Alex Porcelli, delivered a compelling presentation titled “Smarter AI: Combining LLMs and Rule Engines for Safer and Predictable Results.” The session attracted a good audience and received very positive feedback, underscoring the relevance and timeliness of the topic.
Alex’s talk delved into the integration of Large Language Models (LLMs) with Symbolic AI, emphasizing the synergy between Generative AI and Decision Model and Notation (DMN). He highlighted how this combination can lead to more reliable and interpretable AI systems, addressing common concerns about the unpredictability of LLM outputs.
While the presentation was not officially recorded at the conference, Aletyx has made a replay available for those interested in exploring these insights further.
Coming soon: you’ll be able to watch a recording – subscribe to our newsletter to get updated!
The Arc of AI Conference featured over 40 distinguished speakers, including several thought leaders in the field, making it a premier platform for software developers, architects, data engineers, and technology leaders to explore and accelerate advancements in AI and machine learning. Alex expressed his appreciation for being part of such an esteemed gathering:
It was an honor to share the Arc of AI stage with so many bright minds and thought leaders in the field and share a bit of somewhat new perspective on how to tame the LLM using rule engines.
For more information about the conference and its sessions, visit the Arc of AI Conference website.
