Browsing: training

Deploying large language models (LLMs) for inference requires reliable GPU capacity, especially during critical evaluation periods, limited-duration production testing, or burst workloads. Capacity constraints can delay…

Speech technology still has a data distribution problem. Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems have improved rapidly for high-resource languages, but many African languages…

heThe LinkedIn post seemed like yet another scam job offer, but Katya was desperate enough to click. After college, she’d struggled to make a living as…

A promo video featuring Olympic distance runner Grant Fisher has inadvertently revealed the name of next Amazfit running watch. A shot of the Zepp Health app…

While the tech folks obsesses over the latest Llama checkpoints, a much grittier battle is being fought in the basements of data centers. As AI models…

The rapid advancement of artificial intelligence (AI) has created unprecedented demand for specialized models capable of complex reasoning tasks, particularly in competitive programming where models must…

ByteDance Seed recently dropped a research that might change how we build reasoning AI. For years, devs and AI researchers have struggled to ‘cold-start’ Large Language…

WHOOP has started rolling out two distinct AI driven updates at the same time, one through a limited AI beta invite and another inside the Strength…

In 2025, Amazon SageMaker AI saw dramatic improvements to core infrastructure offerings along four dimensions: capacity, price performance, observability, and usability. In this series of posts,…

Rohr, as one of 10 children with 29 nieces and nephews, has watched countless family members and friends navigate hard pregnancies. In response, she’s determined to…