AI MECHANICS
AI MECHANICS
Understand the mechanics behind AI.
Understand the mechanics behind AI.
A curated set of resources for the concepts, architectures, and technical patterns behind modern AI.
A curated set of resources for the concepts, architectures, and technical patterns behind modern AI.
MECHANICS FEED
MECHANICS FEED
Start here when you want to understand the ideas and systems behind AI: context windows, RAG, vector databases, agents, benchmarks, model behaviour, memory, orchestration, and the patterns that keep appearing underneath different tools.
Start here when you want to understand the ideas and systems behind AI: context windows, RAG, vector databases, agents, benchmarks, model behaviour, memory, orchestration, and the patterns that keep appearing underneath different tools.
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What is a large language model (LLM)?
A plain-English introduction to large language models: what they are, how they are trained, what they are used for, and what their main benefits and limitations are.
The rise of the professional vibe coder (a new AI-era job)
A conversation with Lazar Jovanovic about professional vibe coding, non-technical AI-assisted building, and how AI tools are changing the way product, engineering, and design work overlap.
RAG vs. CAG
A practical explanation of retrieval-augmented generation and context-augmented generation, and how both approaches help AI systems work with information beyond the model’s base training.
What is a Context Window? Unlocking LLM Secrets
A beginner-friendly explanation of the context window: how much information an LLM can keep in view at one time, and why that matters for long conversations, document work, and AI agents.
What is AI Search? The Evolution from Keywords to Vector Search & RAG
An accessible explanation of how search is moving from simple keyword matching toward AI-powered retrieval using vector search, semantic understanding, and retrieval-augmented generation.