Fix Bravo's feedback

harvard-edge · Jan 2, 2025 · 9db69ea · 9db69ea
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diff --git a/_quarto.yml b/_quarto.yml
@@ -100,12 +100,12 @@ book:
     - text: "---"
     - contents/frontmatter/ai/socratiq.qmd
     - text: "---"
-    - part: "<div class=\"part\">PART I: Essentials</div>"
+    - part: "<div class=\"part\">PART I: The Essentials</div>"
     - contents/core/introduction/introduction.qmd
     - contents/core/ml_systems/ml_systems.qmd
     - contents/core/dl_primer/dl_primer.qmd
     - contents/core/dnn_architectures/dnn_architectures.qmd
-    - part: "<div class=\"part\">PART II: Principles</div>"
+    - part: "<div class=\"part\">PART II: Engr. Principles</div>"
     - contents/core/workflow/workflow.qmd
     - contents/core/data_engineering/data_engineering.qmd
     - contents/core/frameworks/frameworks.qmd
@@ -116,14 +116,14 @@ book:
     - contents/core/benchmarking/benchmarking.qmd
     - contents/core/ondevice_learning/ondevice_learning.qmd
     - contents/core/ops/ops.qmd
-    - part: "<div class=\"part\">PART III: Practices</div>"
+    - part: "<div class=\"part\">PART III: AI Best Practices</div>"
     - contents/core/privacy_security/privacy_security.qmd
     - contents/core/responsible_ai/responsible_ai.qmd
     - contents/core/sustainable_ai/sustainable_ai.qmd
     - contents/core/robust_ai/robust_ai.qmd
     - contents/core/generative_ai/generative_ai.qmd
     - contents/core/ai_for_good/ai_for_good.qmd
-    - part: "<div class=\"part\">PART IV: Closing</div>"
+    - part: "<div class=\"part\">PART IV: Closing Thoughts</div>"
     - contents/core/conclusion/conclusion.qmd
     - text: "---"  
     - part: contents/labs/labs.qmd

diff --git a/contents/frontmatter/about/about.qmd b/contents/frontmatter/about/about.qmd
@@ -64,10 +64,10 @@ The book is organized into four main parts, each building on the previous one:
 2. **Engineering Principles (Chapters 5-13)**  
    Covers workflows, data engineering, optimization strategies, and operational challenges in system design.
 
-3. **AI in Practice (Chapters 14-20)**  
+3. **AI Best Practice (Chapters 14-20)**  
    Focuses on key considerations for deploying AI systems in real-world environments, including security, privacy, robustness, and sustainability.
 
-4. **Closing Perspectives (Chapter 21)**  
+4. **Closing Thoughts (Chapter 21)**  
    Synthesizes key lessons and explores emerging trends shaping the future of ML systems.
 
 ### Suggested Reading Paths

diff --git a/index.qmd b/index.qmd
@@ -25,4 +25,4 @@ This is a collaborative project, and your input matters! If you'd like to contri
 
 ## What's Next?
 
-If you're ready to dive deeper into the book's structure, learning objectives, and practical use, visit the [About the Book](contents/core/about/about.qmd#about-the-book-unnumbered) section for more details.
+If you're ready to dive deeper into the book's structure, learning objectives, and practical use, visit the [About the Book](contents/frontmatter/about/about.qmd#  about-the-book-unnumbered) section for more details.
Original file line number	Diff line number	Diff line change
Expand Up		@@ -25,4 +25,4 @@ This is a collaborative project, and your input matters! If you'd like to contri

		## What's Next?

		If you're ready to dive deeper into the book's structure, learning objectives, and practical use, visit the [About the Book](contents/core/about/about.qmd#about-the-book-unnumbered) section for more details.
		If you're ready to dive deeper into the book's structure, learning objectives, and practical use, visit the [About the Book](contents/frontmatter/about/about.qmd# about-the-book-unnumbered) section for more details.