Category Archives: LLM

LLMs Hallucinations or much worse?

Read this article by Jacob Feldman as he reports about the last day of the DecisionCAMP-2024. Link See also “Hallucination” in AI: A Misleading Term?

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Have Chatbots Reached the Holy Grail?

On Sep 2, 2024 Prof Gene Freuder will run The Seventh Workshop on Progress Towards the Holy Grail. It will include the panel “Have Chatbots Reached the Holy Grail?”. You can read answers of 3 experts in constraint programming here. Similarly … Continue reading

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Solutions for July-2024 Challenge “Smart Investment”

We received 9 solutions for our July-2024 Challenge “Smart Investment”.Used decision optimization tools:– IBM CPLEX– Llama3/CPLEX/watsonx– Corticon– Prolog– ChatGPT/Zimpl– IPython/ortools– cDMN– Excel Solver– OpenRules Rule Solver.

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About LLM Hallucinations

Andriy Burkov: “I often hear that LLMs hallucinate because they weren’t trained on quality data. This is not what a hallucination is. A hallucination is a situation when the model generates information that was close to the fringe of its … Continue reading

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Knowledge Representation and Reasoning

Dan Selman wrote: “The key to Knowledge Representation and Reasoning is building your ontology. It doesn’t matter if you are reasoning using a Knowledge Graph, a rules engine or a relational database — you need to do the work of … Continue reading

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LLMs and Complex Business Problems

David Ferruchi’s new article “Large Language Models Created Demand for AI Capable of Complex Reasoning They Can’t Deliver Alone” explains why a more holistic approach to AI combined with different forms of reasoning is needed to help us make better … Continue reading

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Text to Knowledge Graph

Dan Selman published an article that describes how to convert natural language text to knowledge graphs. Dan extended Concerto Graph by adding a new method mergeTextToGraph which simplifies the conversion of a block of text to a Knowledge Graph ensuring that the structure of … Continue reading

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Progress Towards the Holy Grail

In 1996 Prof. Gene Freuder wrote the paper “In Pursuit of the Holy Grail” proposed that Constraint Programming was well-positioned to pursue the Holy Grail of computer science: the user simply states the problem and the computer solves it. For … Continue reading

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Combining Constraint Solvers and LLMs

David Ferrucci: “Ever wondered how AI can tackle complex enterprise problems with precision and reliability? By combining constraint solvers and LLMs, we can turn natural language into actionable knowledge that drives intelligent applications. This approach ensures that our solutions are … Continue reading

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Paul Haley takes AI models for a spin

On June 3 Paul Haley, a well-known expert in rule engines and natural language processing, posted “A language model is not enough“. Paul asked AI to help him to pass an exam to earn a private pilot certificate. Read Paul’s … Continue reading

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