Editors Pick

, we discussed AlpamayoR1 (AR1), an autonomous driving model integrating a VLM to act as a reasoning backbone. It relies on a rigorously collected chain-of-causation dataset. Training on this dataset enables AR1 to “reason”...

I computing 7 years ago, just after my master’s degree. At the moment, the sphere was filled with excitement but additionally skepticism. Today, quantum computing stands out as an emerging technology, alongside HPCs...

crossroads in the information world. On one hand, there's a universal recognition of the worth of internal data for AI. Everyone understands that data is the critical foundational layer that unlocks value for agents...

A Pattern Across Teams forming across engineering teams that adopted AI coding tools within the last 12 months. The first month is euphoric. Velocity doubles, features ship faster, stakeholders are thrilled. By month three,...

of a series about distributed AI across multiple GPUs: Introduction Within the previous post, we saw how Distributed Data Parallelism (DDP) hastens training by splitting batches across GPUs. DDP solves the throughput problem, however it...

, I’ve talked quite a bit about Reterival Augmented Generation (RAG). Specifically, I’ve covered the fundamentals of the RAG methodology, in addition to a bunch of relevant concepts, like chunking, embeddings, reranking, and retrieval...

has fundamentally modified within the GenAI era. With the ubiquity of vibe coding tools and agent-first IDEs like Google’s Antigravity, developing recent applications has never been faster. Further, the powerful concepts inspired by...

Introduction is the computational task of assigning colours to elements of a graph in order that adjoining elements never share the identical color. It has applications in several domains, including sports scheduling, cartography, street...