Category Archives: LLM

Decision Optimization and Generative AI

There are two new articles devoted to this topic: “Optimization and Generative AI” by Alex Fleischer “LLM-ify me – Optimization edition” by Richard Oberdieck

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Could/should authors of LLM’s training data be compensated?

Deepak Menta started this discussion on LinkedIn: “Data is the raw material for Generative AI and Machine Learning. So why isn’t it treated like one in other industries?” “Imagine a future where all we humans do is feed data to … Continue reading

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Understanding LLMs from Scratch

This article attempts to explain how Large Language Models (LLMs) work, “from scratch — assuming only that you know how to add and multiply two numbers. The article is meant to be fully self-contained. We start by building a simple … Continue reading

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Challenge Oct-2024 “Cheryl’s Birthday”

This month we ask our readers to solve a well-known logic puzzle from Singapore “Cheryl’s Birthday“. The objective is to determine the birthday of a girl named Cheryl using a handful of clues given to her friends Albert and Bernard. … Continue reading

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Nine Solutions for Sep-2024 Challenge “Rental Boats”

This challenge is about a decision model that can help a boat rental company purchase different boats while satisfying seating, manufacturers, and limited budget requirements. We received 9 solutions and 3 of them used LLMs. Link

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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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