chore: sync content to repo (#10546)

Co-authored-by: nilbuild <4921183+nilbuild@users.noreply.github.com>

roadmaps/ai-engineer/content/llm-observability@1bBgMVISENC-XBwuZFlUk.md

@@ -4,5 +4,6 @@ LLM observability is the practice of monitoring and understanding what happens i
 
 Visit the following resources to learn more:
 
+- [@article@What Is AI Observability? A Guide for Developers](https://roadmap.sh/ai-engineer/ai-observability)
 - [@article@What is LLM observability?](https://www.ibm.com/think/topics/llm-observability)
 - [@article@LLM Evaluation and AI Observability for Agent Monitoring](https://blog.jetbrains.com/pycharm/2026/05/llm-evaluation-and-ai-observability-for-agent-monitoring/)

roadmaps/ai-engineer/content/model-based-evals@LJ6_U5lOdc0uRngutj7Ro.md

@@ -4,6 +4,5 @@ Model-based evals use a separate AI model to automatically score or assess the o
 
 Visit the following resources to learn more:
 
-- [@article@A pragmatic guide to LLM evals for devs](https://newsletter.pragmaticengineer.com/p/evals)
-- [@article@LLM-as-a-judge: a complete guide to using LLMs for evaluations](https://www.evidentlyai.com/llm-guide/llm-as-a-judge)
+- [@article@LLM as a Judge: What It Is, How It Works, and Best Practices](https://roadmap.sh/ai-engineer/llm-as-a-judge)
 - [@video@LLM as a Judge: Scaling AI Evaluation Strategies](https://www.youtube.com/watch?v=trfUBIDeI1Y)