Browsing: Efficient

Large context windows have dramatically increased how much information modern language models can process in a single prompt. With models capable of handling hundreds of thousands—or…

Affordable, fuel-efficient vehicles are harder to find in 2026 as new-car prices climb, but even within a $30,000 budget, there are still a handful of standout…

Serving Large Language Models (LLMs) at scale is a massive engineering challenge because of Key-Value (KV) cache management. As models grow in size and reasoning capability,…

Image by Editor   # The Fragile Pipeline  The gravitational pull of state of the art in modern machine learning is immense. Research teams and engineering departments…

In this tutorial, we implement an agentic chain-of-thought pruning framework that generates multiple reasoning paths in parallel and dynamically reduces them using consensus signals and early…

NVIDIA has released Nemotron-Nano-3-30B-A3B-NVFP4, a production checkpoint that runs a 30B parameter reasoning model in 4 bit NVFP4 format while keeping accuracy close to its BF16…

A dishwasher is a luxury item some people can’t live without. It’s one of the first major kitchen devices I bought just as soon as I…

GLM-4.7-Flash is a new member of the GLM 4.7 family and targets developers who want strong coding and reasoning performance in a model that is practical…

Intel’s flagship undercuts AMD while delivering similar overall desktop performanceAMD charges much more for only modest gains at the very top endPower efficiency and pricing now…

Cerebras has released MiniMax-M2-REAP-162B-A10B, a compressed Sparse Mixture-of-Experts (SMoE) Causal Language Model derived from MiniMax-M2, using the new Router weighted Expert Activation Pruning (REAP) method. The…