AI is changing how software is built, how engineers work, and how technology evolves. Explore AI from the perspective of an engineer, from LLMs, AI applications, and agents to models, GPUs, AI infrastructure, and the systems underneath them. Understand not only how to use AI, but how it works, how it changes engineering, and how engineers can evolve with it.
Latest Posts
“Attention is all you need” – Paper Explained
Digest one of most important paper that is foundation of modern LLM models such as ChatGPT, Gemini, etc. First lesson on how to build a Transformer Architecture
AI Energy Consumption: The Hidden Cost Behind Artificial Intelligence
Is AI actually cheap? The answer depends on who is paying the bill.
How To Compete Against AI As A Content Creator ?
How to Write What AI Can’t
Prompt Injection Attacks: How can AI Systems be Manipulated
Nothing is perfect, so does AI. AI is not immune to cybersecurity problems…
AI Overuse: Risks, Consequences, and How To Avoid AI Dependency
Data Protection Policy, Business Secrets Leakages & Psychological Risks …
AI Prerequisites: What You Need to Know Before Learning LLMs
There are too many background knowledge to know before understanding each word on the GPT-3 paper. Below is a quick summary about works behind the scene that hopefully useful to developers like me who wants make a leap to catch up with the AI progress.