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 logic in the well-known DMN Loan Approval Strategy decision using simple English prompts and natural language decision tables.

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Challenge Aug-2023 “Soldier Payment Rules”

We decided to bring back Challenge “Soldier Payment Rules” which in 2017 received only two solutions. This is a good chance to demonstrate the expressive power of your DMN or other decision management tools. The proper decision model is supposed to assemble a payment timeline for a soldier that shows his/her hourly pay rate in any given time period. The payment rates depend on soldier’s rank, profession, service type, unit, and participation in combat. Submit your solutions to DecisionManagementCommunity@gmail.com. Link

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Knowing-How and Knowing-That

Dr. Saba discusses our use of the phrase ‘I know’ in our everyday linguistic communication and points to the critical difference in the two major uses of the phrase. His point is that ML, as it is practiced today, is only relevant to ‘knowing-how’ but not to ‘knowing-that’. Link

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AI bots beat CAPTCHA and humans

Now, a research paper (pdf) published last month that has yet to be peer reviewed indicates that AI-automated attacks on various CAPTCHA schemes have been successful. The study, conducted by a group of researchers, showed that AI bots are now better than humans at decoding the CAPTCHAs. They even create an impression of humans being more robots than the bots that the CAPTCHAs try to keep out. And they even do it much faster. Link

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Generative AI on the Peak of the 2023 Hype Cycle

On Aug 16, 2023 Gartner published a press release Gartner Places Generative AI on the Peak of Inflated Expectations on the 2023 Hype Cycle for Emerging Technologies: “While all eyes are on AI right now, CIOs and CTOs must also turn their attention to other emerging technologies with transformational potential. his includes technologies that are enhancing developer experience, driving innovation through the pervasive cloud and delivering human-centric security and privacy. As the technologies in this Hype Cycle are still at an early stage, there is significant uncertainty about how they will evolve. Such embryonic technologies present greater risks for deployment, but potentially greater benefits for early adopters.” Link

What technology will benefits after Generative AI goes through the “Disillusionment” phase and reaches the “Plateau of Productivity”? It probably will be Knowledge Management with well-advanced modern Decision Intelligence systems.

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Big Decision Tables

Decision tables are the most popular decision modeling constructs but they have a tendency to grow with time or to use huge arrays of data from the very beginning. When decision tables have tens and even hundreds of thousands of rules, their performance may go down. It becomes especially unacceptable when such big decision tables need to be executed a million times a day. This article describes how OpenRules deals with big decision tables executing even very large tables within milliseconds and giving its users a choice of where to keep and maintain their data: in Excel, in a CSV file, in a fixed-width file, or in a database. Link

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Calendar Arithmetic in DMN

Often in decision models you need to calculate a date or duration.  For example, an application must be submitted within 90 days of some event, or a vaccine should not be administered within 120 days of a previous dose.  DMN has powerful calendar arithmetic features.  Bruce Silver’s post illustrates how to use them. Link

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Google’s latest achievement in quantum computing

Google researchers have introduced a new quantum computer that can perform calculations in a short time of just 6.18 seconds. In contrast, even the most powerful supercomputers in the world would require 47.2 years to complete the same task. However, this advanced technology poses significant challenges for contemporary encryption systems, thus placing them high on the list of national security concerns. Critics also argue that, despite the impressive milestones, these quantum machines still need to demonstrate more practicality outside of academic research. Link

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YouTube to Auto-generate Video Summaries

YouTube is running a new test to auto-generate video summaries with the use of AI. As noted on the support page, the summaries have begun appearing on the watch and search pages, but are only available for a limited number of English-language videos and viewers. Overall, it’s too early to tell how the AI summaries will affect YouTube creators and if it’ll actually help write their video summaries. But we’re curious to see how well the newest experiment performs and if it gets a wider rollout. Link

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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 tax’ demands, this actually has some rational basis – if you can ask ChatGPT ‘what was the news today?’ or ‘explain what that story’s about’ and it can just tell you, it really is ‘using the news’ and not sending them traffic (and raises a lot of social and political questions too).” Benedict Evans Link

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