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#artificial

6 posts6 participants1 post today
Philo Sophies

#Zoomposium with Dr. #Gabriele #Scheler: “The #language of the #brain - or how #AI can learn from #biological #language #models”

There is a #paradigmshift away from the purely information-technological-mechanistic, purely data-driven #Big #Data concept of #LLMs towards increasingly information-biological-polycontextural, structure-driven #artificial, #neural #networks (#KNN) concepts.

More at: philosophies.de/index.php/2024

or: youtu.be/forOGk8k0W8

Katharine O'Moore-Klopf, ELS

#Editors and #writers, are you making sure that there is a distinction made between #generative #artificial #intelligence and non-generative #AI? @karenyin has posted to LinkedIn about the issue: tinyurl.com/mry8uzmm. Be sure to read the article she links to.

tinyurl.comI’m bothered by the lack of distinction between generative AI and non-generative AI (also called traditional machine learning, traditional AI, analytical AI) in nearly all AI coverage and commentary. | Karen YinI’m bothered by the lack of distinction between generative AI and non-generative AI (also called traditional machine learning, traditional AI, analytical AI) in nearly all AI coverage and commentary. Collapsing different types of AI into one term, “AI,” promotes confusion and misinformation about what we really need to pay attention to and be concerned about. When products, for example, are described as “using AI” or “having AI,” it tells me nothing about what is actually being used or whether there are ethical issues involved, e.g., theft of creators’ works by gen AI. Non-gen AI has been around for a while and does not share the same ethical issues as generative AI. To help your readers and those around you understand what you mean, please specify the type of AI or, if the AI combines forms, how gen AI and non-gen AI are used together. Here’s the best explanation that I’ve read of the two main forms of AI: https://lnkd.in/g2SjV2_N. If someone has a better read on this topic, preferably one without a heavy bias toward gen AI, please share. I’m also unsure of the best term for non-gen AI, since “non-gen AI” centers gen AI, so if you use another term, please drop it in the comments. I am still learning the lingo, but I don’t want my lack of knowledge on this subject to prevent me from asking for or offering help. Thank you!
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