List of Figures#

This list catalogs the main diagrams and illustrations that appear in the book, grouped by part. Most figures are embedded in the hands-on labs; open the linked page to view a figure in context. (Decorative logos and interface chrome are omitted.)

Primer: AI Literacy#

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Figure

AI and Tools Reference

Decision flowchart for choosing a model and effort level.

AI Concepts, Assistants, and Effort Levels

Map of how AI, machine learning, deep learning, NLP, generative AI, LLMs, foundation models, frontier models, agentic AI, AGI and superintelligence relate.

AI Concepts, Assistants, and Effort Levels

What changes inside a model at low, medium and high or maximum effort.

Module 1: Fundamentals of Generative AI#

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Figure

Lab 4b: Tree-of-Thought

Tree-of-Thought reasoning diagram.

Lab 5: Multimodal Prompting

Chatbot architecture; Open LLM Leaderboard; multimodal sample images (Amazon packages, ASL, cat-with-laptop, chart data, payment receipt, stacked boxes).

Module 2: Responsible Generative AI#

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Lab 3: Robustness

Robustness and guardrails architecture diagrams.

Lab 4b: Watermarking

Watermarking illustrations.

Module 2 Labs: Responsible AI in practice

Retail bot workflow and agent-flow diagrams used across the Module 2 labs.

Module 3: Building Applications with Foundation Models#

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Lab 1: LangChain Modules

LangChain module and chain diagrams.

Lab 2: Chatbots

Chatbot component diagram.

Lab 3a: Retrieval Augmented Generation

RAG architecture diagrams.

Lab 4: Agents

Agent-with-tools workflow diagram.

Lab 5a: Personalization

Multimodal application illustrations (personalization, product images, document pages).

Appendix#

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Appendix: Traditional Machine Learning Foundations

Traditional machine learning pipeline, from raw data to fairness checks.

Note

Additional generated images and intermediate diagrams appear within individual lab notebooks as you run them. The labs are the primary home for the book’s figures; most explanatory chapters use tables and worked examples, and the few diagrams they include are drawn as SVG so they render cleanly on every device.