Browsing: training

Amazfit Active 3 Premium is getting a new software update with a 15.16MB download. The update focuses on training plans, calendar visibility, navigation tools and a…

Strava has recently rolled out a major strength training update, and Amazfit users are among the first to benefit from it. The update lets strength workouts…

Instruction-tuned language models refuse harmful requests. But which part of the model is actually responsible — and how does that mechanism get installed during training? A…

Pre-training large language models is expensive enough that even modest efficiency improvements can translate into meaningful cost and time savings. Nous Research is releasing Token Superposition…

Garmin Forerunner 170 has arrived as the direct successor to the Forerunner 165, and the update is more about features than design. The watch keeps the…

Scaling large language models (LLMs) is expensive. Every token processed during inference and every gradient computed during training flows through feedforward layers that account for over…

As companies of various sizes adopt graphic processing units (GPU)-based machine learning (ML) training, fine-tuning and inference workloads, the demand for GPU capacity has outpaced industry-wide…

Training frontier AI models is not just a compute problem — it is increasingly a networking problem. And OpenAI just introduced its solution. OpenAI announced the…

Amazfit users finally have a direct route into Runalyze, with Zepp Health account sync now available for activities, sleep and HRV. We came across the new…

Training and serving large transformer models at scale is fundamentally a memory management problem. Every GPU in a cluster has a fixed amount of VRAM, and…