Fix spacing issues

Fix :::{ .callout- to :::{.callout-
harvard-edge · Jun 11, 2024 · 2b942de · 2b942de
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diff --git a/contents/ai_for_good/ai_for_good.qmd b/contents/ai_for_good/ai_for_good.qmd
@@ -253,7 +253,7 @@ These slides are a valuable tool for instructors to deliver lectures and for stu
 
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 - @exr-agri

diff --git a/contents/benchmarking/benchmarking.qmd b/contents/benchmarking/benchmarking.qmd
@@ -821,7 +821,7 @@ These slides are a valuable tool for instructors to deliver lectures and for stu
 
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding. 

diff --git a/contents/data_engineering/data_engineering.qmd b/contents/data_engineering/data_engineering.qmd
@@ -493,7 +493,7 @@ These slides are a valuable tool for instructors to deliver lectures and for stu
 
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding. 

diff --git a/contents/dl_primer/dl_primer.qmd b/contents/dl_primer/dl_primer.qmd
@@ -117,7 +117,7 @@ MLPs are basic deep learning architectures comprising three layers: an input lay
 
 In embedded AI systems, MLPs can function as compact models for simpler tasks like sensor data analysis or basic pattern recognition, where computational resources are limited. Their ability to learn non-linear relationships with relatively less complexity makes them a suitable choice for embedded systems.
 
-:::{ .callout-caution #exr-mlp collapse="false"}
+:::{.callout-caution #exr-mlp collapse="false"}
 
 ##### Multilayer Perceptrons (MLPs)
 
@@ -140,7 +140,7 @@ CNNs are mainly used in image and video recognition tasks. This architecture emp
 
 In embedded AI, CNNs are crucial for image and video recognition tasks, where real-time processing is often needed. They can be optimized for embedded systems using techniques like quantization and pruning to minimize memory usage and computational demands, enabling efficient object detection and facial recognition functionalities in devices with limited computational resources.
 
-:::{ .callout-caution #exr-cnn collapse="false"}
+:::{.callout-caution #exr-cnn collapse="false"}
 
 ### Convolutional Neural Networks (CNNs)
 
@@ -282,7 +282,7 @@ These slides are a valuable tool for instructors to deliver lectures and for stu
 
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding.

diff --git a/contents/efficient_ai/efficient_ai.qmd b/contents/efficient_ai/efficient_ai.qmd
@@ -204,7 +204,7 @@ These slides are a valuable tool for instructors to deliver lectures and for stu
 - [Continuous Evaluation Challenges for TinyML.](https://docs.google.com/presentation/d/1OuhwH5feIwPivEU6pTDyR3QMs7AFstHLiF_LB8T5qYQ/edit?usp=drive_link&resourcekey=0-DZxIuVBUbJawuFh0AO-Pvw)
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 
 #### Exercises 
 

diff --git a/contents/frameworks/frameworks.qmd b/contents/frameworks/frameworks.qmd
@@ -759,7 +759,7 @@ These slides are a valuable tool for instructors to deliver lectures and for stu
     * [TFLite Micro NN Operations.](https://docs.google.com/presentation/d/1ZwLOLvYbKodNmyuKKGb_gD83NskrvNmnFC0rvGugJlY/edit?usp=drive_link)
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding. 

diff --git a/contents/hw_acceleration/hw_acceleration.qmd b/contents/hw_acceleration/hw_acceleration.qmd
@@ -1021,7 +1021,7 @@ Here is a curated list of resources to support students and instructors in their
 * *Coming soon.*
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 * @exr-tvm

diff --git a/contents/ml_systems/ml_systems.qmd b/contents/ml_systems/ml_systems.qmd
@@ -278,7 +278,7 @@ These slides are a valuable tool for instructors to deliver lectures and for stu
 
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding. 

diff --git a/contents/ondevice_learning/ondevice_learning.qmd b/contents/ondevice_learning/ondevice_learning.qmd
@@ -734,7 +734,7 @@ These slides serve as a valuable tool for instructors to deliver lectures and fo
 
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 

diff --git a/contents/ops/ops.qmd b/contents/ops/ops.qmd
@@ -921,7 +921,7 @@ These slides serve as a valuable tool for instructors to deliver lectures and fo
 
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding. 

diff --git a/contents/optimizations/optimizations.qmd b/contents/optimizations/optimizations.qmd
@@ -977,7 +977,7 @@ These slides serve as a valuable tool for instructors to deliver lectures and fo
 
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding. 

diff --git a/contents/privacy_security/privacy_security.qmd b/contents/privacy_security/privacy_security.qmd
@@ -1110,7 +1110,7 @@ These slides are a valuable tool for instructors to deliver lectures and for stu
 
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding. 

diff --git a/contents/responsible_ai/responsible_ai.qmd b/contents/responsible_ai/responsible_ai.qmd
@@ -472,7 +472,7 @@ These slides are a valuable tool for instructors to deliver lectures and for stu
 
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding. 

diff --git a/contents/robust_ai/robust_ai.qmd b/contents/robust_ai/robust_ai.qmd
@@ -1037,7 +1037,7 @@ These slides are a valuable tool for instructors to deliver lectures and for stu
 * *Coming soon.*
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding.

diff --git a/contents/sustainable_ai/sustainable_ai.qmd b/contents/sustainable_ai/sustainable_ai.qmd
@@ -682,7 +682,7 @@ These slides are a valuable tool for instructors to deliver lectures and for stu
 
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding.

diff --git a/contents/training/training.qmd b/contents/training/training.qmd
@@ -1070,7 +1070,7 @@ These slides are a valuable tool for instructors to deliver lectures and for stu
 
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding. 

diff --git a/contents/workflow/workflow.qmd b/contents/workflow/workflow.qmd
@@ -121,7 +121,7 @@ These slides are a valuable tool for instructors to deliver lectures and for stu
 
 :::
 
-:::{ .callout-caution collapse="false"}
+:::{.callout-caution collapse="false"}
 #### Exercises 
 
 To reinforce the concepts covered in this chapter, we have curated a set of exercises that challenge students to apply their knowledge and deepen their understanding.
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@@ Expand Up @@
     :::
-    :::{ .callout-caution collapse="false"}
+    :::{.callout-caution collapse="false"}
     #### Exercises
@@ Expand Down @@