Category Archives: Artificial Intelligence

Combining Symbolic AI with LLMs

Dr. Walid Saba makes a compelling case for combining #symbolic #AI with the strengths of large language models. The limitations of current #LLMs are well articulated, especially the lack of explainability and failures in intentional contexts. Moving to a symbolic system could address these issues.  His paper … Continue reading

Posted in Artificial Intelligence, LLM, Logic and AI, Rule Engines and BRMS | 1 Comment

AI4OPT: AI for Optimization

AI4OPT, NSF Artificial Intelligence Research Institute for Advances in Optimization, aims at delivering a paradigm shift in automated decision making at massive scales by fusing AI and Mathematical Optimization, to deliver breakthroughs that neither field can achieve independently. The Institute … Continue reading

Posted in Artificial Intelligence, Constraint Programming, Decision Optimization, Optimization | Leave a comment

The Black Belt Of Digital Decisions

In Jan-2017 Mike Gualtieri from Forrester published a report “Prescriptive Analytics: The Black Belt Of Digital Decisions” which tied Analytics to actionable Decisions. Mike wrote: “Enterprises must stop wasting time and money on unactionable analytics. These efforts don’t matter if the resulting … Continue reading

Posted in Artificial Intelligence, Business Analytics, Decision Intelligence, Digital Decisioning, Trends | Leave a comment

About LLM Reasoning and Planning Abilities

Today Yann LeCun wrote: “Auto-regressive LLM have very limited reasoning and planning abilities. I do not believe we can get anywhere close to human-level AI (even cat-level AI) without (1) learning world models from sensory inputs like video, (2) an … Continue reading

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Combining LLM with Traditional Coding

A project lead of Google Bard just announced that “Bard is improving at mathematical tasks, coding questions and string manipulation through a new technique called implicit code execution. Plus, it has a new export action to Google Sheets… With this … Continue reading

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What AI is, isn’t, and could be

Marc Andreessen wrote: “What AI is: The application of mathematics and software code to teach computers how to understand, synthesize, and generate knowledge in ways similar to how people do it. AI is a computer program like any other – it runs, … Continue reading

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An active repository of all human knowledge?

Yann LeCun tweeted: “Imagine a future in which your daily interaction with the world of information is mediated by an AI assistant. This AI assistant would be like an active repository of all human knowledge. It will become your best … Continue reading

Posted in Artificial Intelligence, Human Intelligence, Human-Machine Interaction | Leave a comment

Consistency Checks of Large Language Models

Do Language Models Know When They’re Hallucinating References? Current state-of-the-art language models (LMs) are notorious for generating text with “hallucinations,” a primary example being book and paper references that lack any solid basis in their training data. However, we find … Continue reading

Posted in Artificial Intelligence, ChatGPT, LLM | Leave a comment

wAIting for Godot

Kurt Cagle’s “When the Jobs Don’t Come Back“: “The hopes that AI will result in significant staff reductions may be premature at best. What it will do is make it easier for smaller companies to become capable of producing products … Continue reading

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How do we define intelligence?

Dan Everett wrote in Linkedin comments: from Oxford Dictionaryintelligence: the ability to acquire and apply knowledge and skills. LLMs have developed capabilities that programmers did not specifically program.Language translations Theory of mind Looks like that meets the acquire skills requirement. ✅ … Continue reading

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