All tags / Explainer
After the Bhashini posts, a reader asked for the same treatment of PM GatiShakti. It is a very different kind of platform: not AI models, but one shared map for planning India's infrastructure. A simple, fact-checked explainer.
Recursion looks scary but it is just a function that calls itself on a smaller piece, and the call stack does the bookkeeping. It is the natural tool for trees, the shape a document like a manual actually has.
Bhashini lets you speak in one Indian language and be understood in another. People assume it is one giant AI. It is not. A simple, fact-checked look at the real models behind it, the base model for translation, and how they were trained.
The two simplest ways to decide what gets handled next: a queue (first in, first out) and a stack (last in, first out). Where each one shows up in real systems I have built, with examples.
The 'halve it every time' idea. How binary search finds something in a million items in about twenty steps, where it quietly powers databases and even git, and the one condition it needs.
Large language models will confidently invent a law section that does not exist. Retrieval-Augmented Generation (RAG) is the fix. A plain-English explainer, grounded in a real legal-lookup tool I built for police.
The single most useful data structure I reach for: the hash map. What it is, why lookups are instant, where I use it in real systems, and the catches to know about. No jargon.
Forget the hype. A grounded, plain-English guide to how the boring, explainable machine learning models can help a real investigating officer sort a pile of cases, spot the odd one out, and defend the reasoning, without ever pretending to be a detective.
Everyone talks about neural networks and LLMs. But the models quietly running your bank, your fraud alerts, and half of Kaggle are older, simpler, and far more boring. A plain-English tour of the real workhorses.
A plain-English guide to how AI, machine learning, neural networks, and large language models actually relate. They're not competing ideas — they're nested inside each other. Written by an ex-Army officer who now builds them.