AI

VernamVeil: A Fresh Take on Function-Based Encryption

Cryptography often feels like an ancient dark art, full of math-heavy concepts, ...

How I, One Humble Engineer, Deal With Imposter Syndrome

Let me start this post off by saying that imposter syndrome has already been cov...

AI Dubs Over Subs? Translating and Dubbing Videos with AI

Alongside cooking for myself and walking laps around the house, Japanese cartoon...

DALL·E Explained in Under 5 Minutes

It seems like every few months, someone publishes a machine learning paper or de...

AlphaFold 2 Explained: A Semi-Deep Dive

At the end of last month, DeepMind, Google’s machine learning research branch kn...

An Impractical Guide to AI on Google Cloud

Your manager holds a gun to the side of your head and says, “Sell me a Google Cl...

Build an Animal/Object Tracking Camera App with TensorF...

Introducing PetCam: a non-invasive machine-learning-powered pet tracker that run...

Transformers, Explained: Understand the Model Behind GP...

You know that expression When you have a hammer, everything looks like a nail? W...

Big Context Windows Are a Big Deal

Last week, I got my hands on Google’s newest generative model: Gemini 1.5, a mul...

Machine Learning's Most Useful Multitool: Embeddings

Embeddings are one of the most versatile techniques in machine learning, and a c...

You, Me, and My AI-Generated Alternate Identity

@azusagakuyuki is a young Japanese motorcyclist with long hair, a delicate chin,...

Generating and Visualizing Context Vectors in Transformers

This post is divided into three parts; they are: • Understanding Context Vectors...

5 Lessons Learned Building RAG Systems

Retrieval augmented generation (RAG) is one of 2025's hot topics in the AI lands...

TinyAgent: Function Calling at the Edge

The ability of LLMs to execute commands through plain langu...

Modeling Extremely Large Images with xT

As computer vision researchers, we believe that every pixel can...

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