Category Archives: LLM

Learning Decision Rules with GPT

On Feb 26 Simon Vandevelde, a frequent presenter at DecisionCAMPs, will talk about how to combine learning and reasoning in AI. Register for this free webinar. Here is his abstract: “Operational decisions are an important part of knowledge-intensive organizations, as these … Continue reading

Posted in Decision Intelligence, Decision Modeling, DMN, Gen AI, GPT-4, LLM, Machine Learning | Leave a comment

“There will be no programmers in 5 years”

Prof. Warren Powell: “Sorry, this is simply laughable. I would file this alongside Geoffrey Hinton’s prediction (circa 2016) that we will not need radiologists in 5 years (didn’t happen). Don’t these people ever learn? LLMs today certainly are useful to programmers, … Continue reading

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LLMs can have malicious “sleepers”

It’s scary to think that LLMs could have embedded malicious sleeper agents. But a recent paper by Anthropic has been causing quite a stir online – they have proven that LLMs can have malicious “sleeper” behavior secretly embedded by a … Continue reading

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Combining LLM and Rule Engine

A few month ago Mario Fusco (Drools project lead) wrote “Combining LLM flexibility and rule engine predictability“: “The power and flexibility that a well-trained Deep Learning model gives you is virtually infinite, but often, at least in some parts of … Continue reading

Posted in Artificial Intelligence, Business Rules, LLM, Rule Engines and BRMS | Leave a comment

Family Riddle

We decided to bring back a classic family riddle as a Jan-2024 Challenge as it requires some logical thinking. It will be interesting to see what our readers could do with such a problem today when along with traditional decision intelligence … Continue reading

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

Knowledge Graph in 100 Lines of Code

Knowledge graphs are getting lots of attention at the moment, as they are the natural Yin to the Yang of LLMs, providing structured data to chat interfaces, and powering Retrieval Augmented Generation. In this article Dan Selman demonstrates how to create your own custom Knowledge … Continue reading

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On the Road to Universal Learners

Peter Norvig tweeted on Oct. 10: “Given example inputs and outputs of any function that can be computed by any computer, a neural net can learn to approximate that function.” He refers to this paper “Auto-Regressive Next-Token Predictors are Universal … Continue reading

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Peter Norvig: AGI Is Already Here

Peter Norvig wrote today at LinkedIn: “AGI is not solved, but it has arrived. Like how ENIAC was the first general purpose computer in 1945 (but computing was not “solved”) or like how powered flight arrived at Kitty Hawk in … Continue reading

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DecisionCAMP Day 3 Recordings

Watch recordings of the third day presentations at DecisionCAMP-2023:

Posted in Artificial Intelligence, CI/CD, Decision Modeling, Decision Models, Events, LLM, Microservices, Testing | Leave a comment

Generative AI-Powered Tool from Sparkling Logic

Sparkling Logic today announced the creation of AI Assistant, an interactive, generative AI-powered tool. “Generative AI has been a game-changer as companies race to integrate it into their products and services,” said Carlos Serrano-Morales, Co-Founder and CTO of Sparkling Logic. … Continue reading

Posted in Artificial Intelligence, Decision Intelligence, Decision Modeling, LLM | Leave a comment