diff --git a/ch01/README.md b/ch01/README.md
index f938fccf..b7d064cf 100644
--- a/ch01/README.md
+++ b/ch01/README.md
@@ -1,8 +1,15 @@
 # Chapter 1: Understanding Large Language Models
 
+
+ 
+## Main Chapter Code
+
 There is no code in this chapter.
 
-<br>
+
+&nbsp;
+## Bonus Materials
+
 As optional bonus material, below is a video tutorial where I explain the LLM development lifecycle covered in this book:
 
 <br>
diff --git a/ch02/README.md b/ch02/README.md
index b6f09d0c..bb603eed 100644
--- a/ch02/README.md
+++ b/ch02/README.md
@@ -1,10 +1,11 @@
 # Chapter 2: Working with Text Data
 
-
+&nbsp;
 ## Main Chapter Code
 
 - [01_main-chapter-code](01_main-chapter-code) contains the main chapter code and exercise solutions
 
+&nbsp;
 ## Bonus Materials
 
 - [02_bonus_bytepair-encoder](02_bonus_bytepair-encoder) contains optional code to benchmark different byte pair encoder implementations
diff --git a/ch03/README.md b/ch03/README.md
index 46a7fd9a..ad892089 100644
--- a/ch03/README.md
+++ b/ch03/README.md
@@ -1,9 +1,11 @@
 # Chapter 3: Coding Attention Mechanisms
 
+&nbsp;
 ## Main Chapter Code
 
 - [01_main-chapter-code](01_main-chapter-code) contains the main chapter code.
 
+&nbsp;
 ## Bonus Materials
 
 - [02_bonus_efficient-multihead-attention](02_bonus_efficient-multihead-attention) implements and compares different implementation variants of multihead-attention
diff --git a/ch04/README.md b/ch04/README.md
index 5891b2d3..ad229d24 100644
--- a/ch04/README.md
+++ b/ch04/README.md
@@ -1,10 +1,13 @@
 # Chapter 4: Implementing a GPT Model from Scratch to Generate Text
 
+&nbsp;
 ## Main Chapter Code
 
 - [01_main-chapter-code](01_main-chapter-code) contains the main chapter code.
 
-## Optional Code
+&nbsp;
+## Bonus Materials
 
-- [02_performance-analysis](02_performance-analysis) contains optional code analyzing the performance of the GPT model(s) implemented in the main chapter.
+- [02_performance-analysis](02_performance-analysis) contains optional code analyzing the performance of the GPT model(s) implemented in the main chapter
+- [ch05/07_gpt_to_llama](../ch05/07_gpt_to_llama) contains a step-by-step guide for converting a GPT architecture implementation to Llama 3.2 and loads pretrained weights from Meta AI (it might be interesting to look at alternative architectures after completing chapter 4, but you can also save that for after reading chapter 5)
 
diff --git a/ch05/README.md b/ch05/README.md
index defa30bf..4718a509 100644
--- a/ch05/README.md
+++ b/ch05/README.md
@@ -1,9 +1,11 @@
 # Chapter 5: Pretraining on Unlabeled Data
 
+&nbsp;
 ## Main Chapter Code
 
 - [01_main-chapter-code](01_main-chapter-code) contains the main chapter code
 
+&nbsp;
 ## Bonus Materials
 
 - [02_alternative_weight_loading](02_alternative_weight_loading) contains code to load the GPT model weights from alternative places in case the model weights become unavailable from OpenAI
diff --git a/ch06/README.md b/ch06/README.md
index ddc28bfb..abcbb6e4 100644
--- a/ch06/README.md
+++ b/ch06/README.md
@@ -1,10 +1,11 @@
 # Chapter 6: Finetuning for Classification
 
-
+&nbsp;
 ## Main Chapter Code
 
 - [01_main-chapter-code](01_main-chapter-code) contains the main chapter code
 
+&nbsp;
 ## Bonus Materials
 
 - [02_bonus_additional-experiments](02_bonus_additional-experiments) includes additional experiments (e.g., training the last vs first token, extending the input length, etc.)
diff --git a/ch07/README.md b/ch07/README.md
index b081489f..2a3883c0 100644
--- a/ch07/README.md
+++ b/ch07/README.md
@@ -1,9 +1,11 @@
 # Chapter 7: Finetuning to Follow Instructions
 
+&nbsp;
 ## Main Chapter Code
 
 - [01_main-chapter-code](01_main-chapter-code) contains the main chapter code and exercise solutions
 
+&nbsp;
 ## Bonus Materials
 
 - [02_dataset-utilities](02_dataset-utilities) contains utility code that can be used for preparing an instruction dataset