Contribution to AI Engineer Roadmap (#7490)

* Update opensource-ai@a_3SabylVqzzOyw3tZN5f.md

Updating on AI Engineer roadmap
- OpenSource AI

* Update open-vs-closed-source-models@RBwGsq9DngUsl8PrrCbqx.md

Updating on AI Engineer Roadmap
- Open vs Closed Source Models

* Update open-vs-closed-source-models@RBwGsq9DngUsl8PrrCbqx.md

minor change (-)

* Update popular-open-source-models@97eu-XxYUH9pYbD_KjAtA.md

Updating on AI Engineer Roadmap
- Popular Open Source Models

* Update src/data/roadmaps/ai-engineer/content/popular-open-source-models@97eu-XxYUH9pYbD_KjAtA.md

cut down the topic

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Co-authored-by: dsh <daniel.s.holdsworth@gmail.com>

src/data/roadmaps/ai-engineer/content/open-vs-closed-source-models@RBwGsq9DngUsl8PrrCbqx.md

@@ -1 +1,8 @@
-# Open vs Closed Source Models
+# 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)

src/data/roadmaps/ai-engineer/content/opensource-ai@a_3SabylVqzzOyw3tZN5f.md

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-# OpenSource AI
+# 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/)

src/data/roadmaps/ai-engineer/content/popular-open-source-models@97eu-XxYUH9pYbD_KjAtA.md

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-# Popular Open Source Models
+# 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/)