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Tagged “Explainer” (6)

GatiShaktiGISGovernmentInfrastructureExplainer

How PM GatiShakti Actually Works: The Architecture, Explained Simply

15 June 2026 · Sulabh Sethi

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.

BhashiniAI4BharatMachine TranslationIndian LanguagesExplainer

How Bhashini Actually Works: The Architecture, Explained Simply

10 June 2026 · Sulabh Sethi

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.

RAGLLMAILegal TechExplainer

How RAG Works, and Why It Stops AI From Making Things Up

9 June 2026 · Sulabh Sethi

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.

Machine LearningPolicingPractical GuideInvestigationExplainer

How an Investigating Officer Can Actually Use Machine Learning: A Practical Guide

8 June 2026 · Sulabh Sethi

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.

Machine LearningDecision TreesRandom ForestXGBoostExplainer

Decision Trees, Random Forests, XGBoost: The Boring ML That Runs the World

7 June 2026 · Sulabh Sethi

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.

AIMachine LearningNeural NetworksLLMExplainer

AI vs Machine Learning vs Neural Networks vs LLMs: What's the Difference?

6 June 2026 · Sulabh Sethi

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.