Monthly Archives: July 2023

Avoiding AI Hallucinations

Large language models (LLMs) trained on stale, incomplete information are prone to “hallucinations”—incorrect results, from slightly off-base to totally incoherent. Hallucinations include incorrect answers to questions and false information about people and events. This article “Why knowledge management is foundational to … Continue reading

Posted in Artificial Intelligence, Knowledge Representation, LLM | Leave a comment

Combining Symbolic AI with LLMs

Dr. Walid Saba makes a compelling case for combining #symbolic #AI with the strengths of large language models. The limitations of current #LLMs are well articulated, especially the lack of explainability and failures in intentional contexts. Moving to a symbolic system could address these issues.  His paper … Continue reading

Posted in Artificial Intelligence, LLM, Logic and AI, Rule Engines and BRMS | 1 Comment

Upcoming and Previous Decision CAMPs

DecisionCAMP is the most popular annual event for Decision Management practitioners. It started in 2008 as October RulesFest, continued in 2009-2011 as RulesFest, became IntelliFest in 2012, and DecisionCAMP since 2013. See the entire history with various links to presentations, … Continue reading

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AI4OPT: AI for Optimization

AI4OPT, NSF Artificial Intelligence Research Institute for Advances in Optimization, aims at delivering a paradigm shift in automated decision making at massive scales by fusing AI and Mathematical Optimization, to deliver breakthroughs that neither field can achieve independently. The Institute … Continue reading

Posted in Artificial Intelligence, Constraint Programming, Decision Optimization, Optimization | Leave a comment