I Trained a Tiny Network to Compress Data. It Drew a Pentagon.
I wasn't expecting geometry to show up. I was reproducing a small piece of Anthropic's…
What Everyone Is Getting Wrong About TypeSafe AI’s Jev
Today, I'm trying something different. Instead of another standard "What is Jev?" explainer, I want…
GraphRAG: A Practitioner’s Guide to 6 Advanced Architectural Patterns
Retrieval-Augmented Generation (RAG) is the most widely used LLM use case across organizations. By vectorizing…
Google expands AI & Economy research team
We recently launched the AI & Economy ATLAS v1.0 and its interactive open-access site to…
Reusing the Prompt Prefix with a Key-Value Cache for SLM Optimization
In a previous article we discussed constraining output space for small language model (SLM) narrow…
Building a Data Lakehouse with DuckDB and DuckLake
Many years ago, if you wanted to store large amounts of data that could be…
AI for everyone in every language
Today, our technologies and products power everyday interactions in more than 300 languages, spoken by…
Reparameterization Tricks: Variance Reduction by Smarter Gradients
The reparameterization trick is what makes Variational Autoencoders (VAEs) trainable with standard stochastic gradient descent.…
From Spaghetti Code to Clean Python: A Beginner’s Guide
Introduction Spaghetti code is hard to work with because its logic is tangled. A function…