Category Archives: LLM

Why Rules Still Matter in an AI World

Posted on July 2, 2026 by decisionmanagementcommunity

Pierre Berlandier published the results of “a candid, side-by-side experimental comparison” of two approaches to decision management: rule-based and LLM-based. “We used a simple decision scenario as a test case: determining whether a traveler qualifies for access to the fictitious Big … Continue reading →

Posted in Decision Intelligence, LLM, Rule Engines and BRMS | Leave a comment

Decision Optimization and LLM

Posted on June 1, 2026 by decisionmanagementcommunity

Gurobi, the company behind one of the leading Integer Linear Programming (ILP) solvers, recently published a white paper “Intelligence, Optimization, and theNew Decision Frontier” (written by Adam DeJans). It describes different integration techniques of optimization tools such as ILP solvers … Continue reading →

Posted in Decision Modeling, Decision Optimization, LLM | Leave a comment

The era of AI viruses has begun

Posted on May 26, 2026 by decisionmanagementcommunity

Martin Milani wrote today: “MCP gives agents tools to read your files, read/send your emails, and query IT systems. It’s what makes agents actually useful. It’s also a wide-open door. There’s no inherent concept of security in MCP. No framework. … Continue reading →

Posted in Agents, LLM, Security | Leave a comment

“Deterministic systems produce facts, small local LLMs turn them into language.”

Posted on May 24, 2026 by decisionmanagementcommunity

Gary Hallmark asks: “What can small local LLMs realistically do today?” He did some experiments with these conclusions: “Small local LLMs are often not great at open-ended expert reasoning. But they are already surprisingly capable at: structured data → natural-language … Continue reading →

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Old and New Attitudes

Posted on April 11, 2026 by decisionmanagementcommunity

Ron Ross: “GenAI has demonstrated something that should have been obvious all along: Text is how humans communicate knowledge. GenAI answers your prompts in sentences. That shouldn’t surprise you – it’s simply how humans communicate.” Link

Posted in LLM, Natural Language Processing | Leave a comment

LLM-Solve 2026

Posted on March 31, 2026 by decisionmanagementcommunity

The workshop “LLMs meet Constraint Solving (LLM-Solve)” aims to bring together researchers exploring the intersection of Large Language Models (LLMs) and Constraint Solving (CP, SAT, SMT, MIP, and related paradigms). This workshop provides a platform to discuss recent advances, challenges, and opportunities … Continue reading →

Posted in Constraint Programming, LLM, Optimization | Leave a comment

Peter Norvig about LLMs

Posted on March 23, 2026 by jacobfeldman

In December 2009, Peter Norvig—then Director of Research at Google—delivered his lecture “The Unreasonable Effectiveness of Data,” at University College Cork. The alternative title was “Billions of Trivial Data Points Can Lead to Understanding.” I was fortunate not only to … Continue reading →

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2025 LLMs in Review by Peter Norvig

Posted on December 23, 2025 by decisionmanagementcommunity

Peter Norvig wrote today: “I am now done comparing three LLMs to my own coding on the Advent of Code problems. The LLMs did great! They couldn’t have done it last year.” Here are his main conclusions after asking 3 … Continue reading →

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2025 LLM Year in Review by Andrey Karpathy

Posted on December 23, 2025 by decisionmanagementcommunity

Andrey Karpathy published a not-too-technical review of technical developments in generative AI this year: “2025 was an exciting and mildly surprising year of LLMs. LLMs are emerging as a new kind of intelligence, simultaneously a lot smarter than I expected … Continue reading →

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Will LLMs replace optimization solvers?

Posted on December 13, 2025 by decisionmanagementcommunity

“It’s a tempting story. After all, LLMs can write code, generate documentation, and even produce what looks like a mathematical model. But LLMs are pattern generators. They predict the next word, token, or code snippet based on what they’ve seen … Continue reading →

Posted in LLM, Optimization, solvers | Leave a comment