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AI vs Machine Learning vs Deep Learning Explained | AI for GIs 2 (Updated OCT26)

Dr. T. Justin Webb

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AI vs Machine Learning vs Deep Learning Explained | AI for GIs 2 (Updated OCT26)

10 просмотров · 2 нед. назад
Dr. T. Justin Webb
483 подписчика
10 просмотров · 2 нед. назад
AI vs machine learning vs deep learning: where do generative AI, language models and multimodal applications fit? Build a clear AI family tree with stated boundaries. This companion separates technical methods, claimed capability scope and application tasks. It covers symbolic reasoning, learning processes, generative outputs, language and multimodal systems, robotics and general-intelligence claims. Fictional vendor and architecture exercises show which evidence each claim needs. AI for GIs: Applied AI, Class 2. Updated October 2026 companion lesson. For the detailed foundation, watch the original Class 2:    • Module 1 Class 2 - The AI Family Tree | AI...   This companion runs alongside the original course. Join us on NIPR Teams: AI for GIs. YouTube: @webb8020    / @webb8020   X: @webb8020 https://x.com/webb8020 TikTok: @justin.webb   / justin.webb   Instagram: @pstrategus   / pstrategus   LinkedIn: /in/tjustinwebb   / tjustinwebb   Companion series playlist:    • AI for GIs: Applied AI | Companion Series   Slides and handout: https://pensator-strategus.notion.sit... #AIforGIs #AppliedAI Chapters 00:00 AI for GIs Applied AI Class 2 00:34 One pitch contains several claims 01:24 Three views answer different questions 02:14 A valid technical subset map 03:03 Explicit reasoning belongs in the picture 03:54 Training labels describe a process 04:45 Generative describes the content produced 05:40 Language and multimodal are distinct descriptions 06:37 A model operates inside an application 07:28 Capability scope needs an explicit definition 08:20 A dated status statement has a boundary 09:10 Task categories help choose the right questions 10:08 McCarthy’s historical list retains its identity 11:01 A vehicle combines component roles 11:55 A plausible predictive-logistics claim still needs evidence 12:48 A general-intelligence claim needs stated criteria 13:43 An image-and-document task can be classified precisely 14:35 Exercise: annotate the architecture 15:25 Answer key and memory check 16:24 Original Class 2 and the AI for GIs community