AI
How does AI actually work?
From examples to predictions: a practical explanation of training, inference, neural networks, and what machine learning can and cannot promise.
UNDERSTAND / BEYOND THE BUZZWORDS
Tech Insights.
The ideas behind the technology. Simple explanations, technical depth, and something useful to take away.
AI
LLMs and transformers, from tokens to answers
A grounded walkthrough of tokenization, attention, pretraining, and generation, without treating a fluent answer as proof of understanding.
AI
RAG explained: give an AI the right evidence
How retrieval-augmented generation connects language models to documents, and why retrieval quality matters as much as the model.