Category Archives: LLM

LLMs and ChatGPT at the Upcoming DecisionCAMP

Large Language Models (LLMs) and ChatGPT will be well-presented at the upcoming DecisionCAMP-2023 on Sep 18-20. Here are a few examples: The very first presentation by Gary Hallmark will demonstrate the use of ChatGPT to generate all of the decision … Continue reading

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Paying for training data?

“There are already a bunch of lawsuits from people who think their work may be in LLM training data, and now IAC and a group of publishers are apparently thinking about demanding some very large ($bn) payments. Unlike the ‘link … Continue reading

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Avoiding AI Hallucinations

Large language models (LLMs) trained on stale, incomplete information are prone to “hallucinations”—incorrect results, from slightly off-base to totally incoherent. Hallucinations include incorrect answers to questions and false information about people and events. This article “Why knowledge management is foundational to … Continue reading

Posted in Artificial Intelligence, Knowledge Representation, LLM | Leave a comment

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

Towards Programming as Conversation

With LLMs taking the world, the prediction “What comes after serverless? Conversational Programming!” becomes a reality. It is interesting that even in 1967 Marvin Minsky understood the possibility of a 2-way conversation between programmer and computer, where the program is … Continue reading

Posted in Human-Machine Interaction, LLM, Microservices, Software Development, 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

Posted in Artificial Intelligence, Decision Intelligence, Human Intelligence, LLM | 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

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