Category Archives: LLM

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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LLM Shines Solving a DMCommunity Challenge

ChatGPT produced an amazingly good solution for DMCommunity’s March-2024 Challenge “AnalyzeEmployees”. Of course, this challenge deals with one of the favorite LLM application areas of Q&A. Still, it generated the correct (!) Python code based on plain English questions. I … Continue reading

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When Not to Use Generative AI

Gartner: “Generative AI is only one piece of the much broader AI landscape, and most business problems require a combination of different AI techniques. Ignore this fact, and you risk overestimating the impacts of GenAI and implementing the technology for … Continue reading

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Going bigger will not work indefinitely

OpenAI CEO, Sam Altman, says further progress will not come from making LLMs bigger. “I think we’re at the end of the era where it’s going to be these, like, giant, giant models,” he told an audience at an event … Continue reading

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Looking for AI use-cases

Ben Evans: “We’ve had ChatGPT for 18 months, but what’s it for? What are the use-cases? Why isn’t it useful for everyone, right now? Do Large Language Models become universal tools that can do ‘any’ task, or do we wrap … Continue reading

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LLMs and Attributed Provenance

George Keller Hart: “Large language models are potentially our civilization’s self blinding. How? By undermining our 5,000+ year heritage of written language – specifically because LLMs substitute memetics for attribution, breaking the first rule of shared, collective knowledge. Our vast … Continue reading

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Unlocking multimodal understanding across millions of tokens

Today Google announced Gemini 1.5 that supports “millions of tokens of multimodal input. The multimodal capabilities of the model means you can interact in sophisticated ways with entire books, very long document collections, codebases of hundreds of thousands of lines … Continue reading

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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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