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.
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Companion series playlist: • AI for GIs: Applied AI | Companion Series
Slides and handout: https://pensator-strategus.notion.sit...
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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