As humans, recognizing a person is often similar to matching someone we see with the people we already know or … More
Category: Machine Learning
How to Calculate Percentage-Based Confidence Scores from Similarities of Embedding Models
Embedding models have become a cornerstone of modern machine learning, powering everything from recommendation engines and document search to verification … More
What Are Vector Embeddings? And Why They Matter in AI
If you’ve spent time exploring machine learning or AI recently, you’ve probably heard the term “embedding” — vector embedding, word … More
Vector Similarity Search with Partially Homomorphic Encryption in Python
Vector embeddings are used in many modern applications, including facial recognition, recommendation systems, reverse image search, and large language models … More
Postgres As A Vector Database: Billion-Scale Vector Similarity Search With pgvector
In the world of database management, there are often debates about the right tools for specific tasks. In a recent … More
Face Anti-Spoofing for Facial Recognition In Python
In today’s world, facial recognition technology is widely being used for security purposes, but it comes with some vulnerabilities. Imagine … More
Billion-scale Fast Vector Similarity Search with Spotify Voyager
In the ever-evolving landscape of music streaming and recommendation systems, Spotify has long been at the forefront, leveraging cutting-edge technologies … More
A Step by Step Approximate Nearest Neighbor Example In Python From Scratch
Nearest neighbor search is a fundamental problem for vector models in machine learning. It involves finding the closest vectors to … More
How to Generate Vector Embeddings
Vector models have become ubiquitous in our lives, powering various applications such as facial recognition, reverse image search, recommendation engines … More
The Rise of Vector Databases
In the ever-evolving landscape of data management, a powerful new player has emerged: vector databases. With the exponential growth of … More
