diff --git a/src/data/roadmaps/ai-engineer/content/open-vs-closed-source-models@RBwGsq9DngUsl8PrrCbqx.md b/src/data/roadmaps/ai-engineer/content/open-vs-closed-source-models@RBwGsq9DngUsl8PrrCbqx.md
index 2d77d78b7..4266710f5 100644
--- a/src/data/roadmaps/ai-engineer/content/open-vs-closed-source-models@RBwGsq9DngUsl8PrrCbqx.md
+++ b/src/data/roadmaps/ai-engineer/content/open-vs-closed-source-models@RBwGsq9DngUsl8PrrCbqx.md
@@ -1 +1,8 @@
-# Open vs Closed Source Models
\ No newline at end of file
+# Open vs Closed Source Models
+
+Open-source AI refers to models and software with publicly accessible source code, promoting collaboration, transparency, and cost-effectiveness, but it can face challenges like quality control and security risks. In contrast, closed-source AI involves proprietary models that are not publicly available, offering higher quality, performance, and security due to significant corporate investment, but lacking transparency and community collaboration. Some of them were `Llama` for Open Source Model and `Open AI` for Closed Source Model.
+
+Learn more from the following resources:
+
+- [@article@Open AI vs Closed AI](https://formtek.com/blog/open-ai-vs-closed-ai-whats-the-difference-and-why-does-it-matter/)
+- [@article@Open vs Closed Source Model](https://www.techtarget.com/searchEnterpriseAI/feature/Attributes-of-open-vs-closed-AI-explained)
diff --git a/src/data/roadmaps/ai-engineer/content/opensource-ai@a_3SabylVqzzOyw3tZN5f.md b/src/data/roadmaps/ai-engineer/content/opensource-ai@a_3SabylVqzzOyw3tZN5f.md
index 5d3f0e410..97f71dcdb 100644
--- a/src/data/roadmaps/ai-engineer/content/opensource-ai@a_3SabylVqzzOyw3tZN5f.md
+++ b/src/data/roadmaps/ai-engineer/content/opensource-ai@a_3SabylVqzzOyw3tZN5f.md
@@ -1 +1,8 @@
-# OpenSource AI
\ No newline at end of file
+# OpenSource AI
+
+Open-source AI refers to the development and deployment of artificial intelligence technologies using open-source practices. This means that the source code is freely accessible, allowing developers to inspect, modify, and distribute AI systems without restrictions.
+
+Learn more from the following resources:
+
+- [@article@The Open Source AI Definition](https://opensource.org/deepdive/drafts/the-open-source-ai-definition-draft-v-0-0-3)
+- [@article@Defining Open Source AI](https://www.technologyreview.com/2024/08/22/1097224/we-finally-have-a-definition-for-open-source-ai/)
diff --git a/src/data/roadmaps/ai-engineer/content/popular-open-source-models@97eu-XxYUH9pYbD_KjAtA.md b/src/data/roadmaps/ai-engineer/content/popular-open-source-models@97eu-XxYUH9pYbD_KjAtA.md
index 6c4dea5c3..20272f1bf 100644
--- a/src/data/roadmaps/ai-engineer/content/popular-open-source-models@97eu-XxYUH9pYbD_KjAtA.md
+++ b/src/data/roadmaps/ai-engineer/content/popular-open-source-models@97eu-XxYUH9pYbD_KjAtA.md
@@ -1 +1,8 @@
-# Popular Open Source Models
\ No newline at end of file
+# Popular Open Source Models
+
+Notable open-source examples are `BERT`, developed by Google, which has become a foundational model for natural language processing tasks; `BLOOM`, a multilingual model with 176 billion parameters created through a collaborative project by Hugging Face; and `Falcon 180B`, known for its impressive performance in NLP tasks.
+
+Learn more from the following resources:
+
+- [@article@Top Open Source Models](https://www.datacamp.com/blog/top-open-source-llms)
+- [@article@Mark on Open Source AI](https://about.fb.com/news/2024/07/open-source-ai-is-the-path-forward/)