LLMON: An LLM-Native Markup Language, now in Granite 4.1 3B and 8B
LLMs rely on their context to generate the next set of tokens. Over a long trajectory, the context fills with…
Introducing Gemini 4 Hydrogen
Today, we’re introducing Gemini 4 Hydrogen, bringing cutting-edge intelligence to everyone — with speed and efficiency for everyday coding and…
Google Search gets a major upgrade with Gemini 4 Hydrogen
We are bringing Gemini 4 Hydrogen to Google Search globally to provide you with more intuitive, visual, and precise answers.…
Fast Attention Kernels and Operator Fusion
A transformer layer is built from familiar operations: linear projections, attention, normalization, activation functions, and residual additions. A direct implementation…
How to Hear the Song of Life
“When we have learned how to listen to trees,” Hermann Hesse wrote in one of his least known, most beautiful…
Top Types of Hidden Coupling and How to Deal With Them
When you create an architecture diagram, you usually try to show the services, databases, queues, and the connections between these…
RAG Retrieval Lost 40 Points When Distracting Passages Grew to 2.68M
A reproducible test of BM25, embeddings, and parent documents shows why author-written evals overrate search, and why answer position in…
Building Graph-Enhanced GenAI Applications with graphrag-toolkit
Learn how graph-enhanced RAG connects related facts that plain vector search misses, then build a multi-hop research assistant with AWS…
Listening and Diagnosing (guest post)
“Over and over again I see philosophers go so far to take everything at face value that it leads them…
From Gunas to Metacognition: Two Parallel Maps of Human Awareness
The traditional yogic classification of the mind (found in texts like the Amanaska Yoga) and modern cognitive researcher Kiran Vadagam’s…