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Category Archives: LLM
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
Posted in Artificial Intelligence, LLM
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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
Posted in LLM
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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
Posted in LLM, Trends
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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
Posted in Knowledge Representation, LLM
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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
Posted in LLM
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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
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“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
Posted in LLM
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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
Posted in LLM
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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
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
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