zi jie liu

This is such a complete hands-on guide for Cephadm deployment. Breaking down S3/RBD write paths side by side solves a lot of confusion I had about Ceph storage interfaces. Saved this post for my lab practice!

Great beginner-friendly breakdown of how LLMs process prompts! The clear flowcharts and simple examples for tokenization & self-attention make complex Transformer concepts super easy to follow for newbies. I especially appreciated the temperature section explaining how to tweak creativity for different use cases. This article perfectly clears up the common misconception that ChatGPT just pulls answers from the internet—super helpful for anyone new to generative AI.

Such a detailed hands-on DevOps walkthrough, full of hard-earned lessons every engineer can learn from!

Really insightful real-world test! It perfectly shows the core limitation of agentic AI — safety guardrails kill automation for destructive batch tasks. Great hands-on breakdown.

Well put. Writing code is the easy part. The actual engineering is all the stuff AI can’t do: weighing trade-offs, understanding system-wide context, debugging silent production failures, and translating vague business needs into something that works at scale. AI is an incredible force multiplier, but it never replaces human judgment