Recent Posts

April 7, 2026

Exploring “Linear” in Linear Regression

April 7, 2026

The curious case of R-Squared: Keep Guessing

March 11, 2026

[C1] What Machines Actually Do (And What They Don’t)

March 11, 2026

[ML x] Machine Decision: From One Tree to a Forest

November 2, 2024

[ML 1] AI Paradigm Shift: From Rules to Patterns

November 5, 2025

[ML 1.a] ML Foundations – Linear Combinations to Logistic Regression

November 14, 2025

[ML 1.b] Teaching AI Models: Gradient Descent

November 19, 2025

[ML 2] Making Sense Of Embeddings

November 22, 2025

[ML 2.a] Word2Vec: Start of Dense Embeddings

November 28, 2025

[ML 2.b] Measuring Meaning: Cosine Similarity

December 3, 2025

[ML 2.c] Needle in the Haystack: Embedding Training and Context Rot

February 16, 2026

[MI 3] Seq2Seq Models: Basics behind LLMs

February 13, 2026

[MU 1] Advertising in the Age of AI

December 9, 2025

[EN 1.a] Breaking the “Unbreakable” Encryption – 1

December 13, 2025

[EN 1.b] Breaking the “Unbreakable” Encryption – 2

December 18, 2025

[PET 1] Privacy Enhancing Technologies – Introduction

December 21, 2025

[PET 1.a] Privacy Enhancing Technologies (PETs) — Part 1

December 25, 2025

[PET 1.b] Privacy Enhancing Technologies (PETs) — Part 2

December 30, 2025

[PET 1.c] Privacy Enhancing Technologies (PETs) — Part 3

February 2, 2026

[MI 1] An Intuitive Guide to CNNs and RNNs

November 9, 2025

[MI 2] How CNNs Actually Work

January 16, 2026

How Smart Vector Search Works

Musings

[MU 1] Advertising in the Age of AI

When you search for a product today, ads quietly shape what you notice. When you scroll Instagram, ads compete for…

Machine Learning Basics

[ML 2.b] Measuring Meaning: Cosine Similarity

In the previous posts, we established that embeddings turn everything into points in space and that Word2Vec showed how…

Concepts

Exploring “Linear” in Linear Regression

Linear regression is one of those things you learn early, use forever, and never quite slow down to inspect. So…

Machine Learning Basics

[ML 1.b] Teaching AI Models: Gradient Descent

In the last post, we established the big idea: machine learning is about finding patterns from data instead of writing…

Privacy Tech

[PET 1.c] Privacy Enhancing Technologies (PETs) — Part 3

Privacy-Preserving Computation and Measurement In Part 1, we covered how organizations protect data internally —…

Machine Learning Basics

[ML 1] AI Paradigm Shift: From Rules to Patterns

Every piece of software you’ve ever shipped works the same way. A developer thinks through the logic and writes…

Browse Tag

Vector Search

1 Article

How Smart Vector Search Works

By Archit Sharma

4 Min Read

In the ever-evolving world, the art of forging genuine connections remains timeless. Whether it’s with colleagues, clients, or partners, establishing a genuine rapport paves the way for collaborative success.