Category Archives: LLM

Text to Knowledge Graph

Posted on June 22, 2024 by decisionmanagementcommunity

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 →

Posted in Knowledge Representation, LLM | Leave a comment

Progress Towards the Holy Grail

Posted on June 12, 2024 by decisionmanagementcommunity

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 →

Posted in Artificial Intelligence, ChatGPT, Constraint Programming, Events, LLM | Leave a comment

Combining Constraint Solvers and LLMs

Posted on June 11, 2024 by decisionmanagementcommunity

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 →

Posted in Constraint Programming, LLM, Logic and AI | Leave a comment

Paul Haley takes AI models for a spin

Posted on June 4, 2024 by decisionmanagementcommunity

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 →

Posted in LLM | Leave a comment

LLM Shines Solving a DMCommunity Challenge

Posted on May 15, 2024 by jacobfeldman

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 →

Posted in Challenges, ChatGPT, Decision Intelligence, LLM | Leave a comment

When Not to Use Generative AI

Posted on May 8, 2024 by decisionmanagementcommunity

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 →

Posted in Artificial Intelligence, LLM | Leave a comment

Going bigger will not work indefinitely

Posted on April 24, 2024 by decisionmanagementcommunity

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 →

Posted in LLM | Leave a comment

Looking for AI use-cases

Posted on April 24, 2024 by decisionmanagementcommunity

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 →

Posted in LLM, Trends | Leave a comment

LLMs and Attributed Provenance

Posted on March 17, 2024 by decisionmanagementcommunity

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 →

Posted in Knowledge Representation, LLM | Leave a comment

Unlocking multimodal understanding across millions of tokens

Posted on February 15, 2024 by decisionmanagementcommunity

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 →

Posted in LLM | Leave a comment