Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield stronger performance on complex tasks while keeping per-query inference costs mana ...
SiliconANGLE

MLCommons releases results of its latest MLPerf AI inference benchmark test

MLCommons today released the latest results of its MLPerf Inference benchmark test, which compares the speed of artificial intelligence systems from different hardware makers. MLCommons is an industry ...
VentureBeat

Hugging Face shows how test-time scaling helps small language models punch above their weight

In a new case study, Hugging Face researchers have demonstrated how small language models (SLMs) can be configured to outperform much larger models. Their findings show that a Llama 3 model with 3B ...
EurekAlert!

Common way to test for leaks in large language models may be flawed

This slide shows how a membership inference attack might start. Assessing the product of an app asked to generate an image of a professor teaching students in “the style of” artist Monet could lead to ...
Hosted on MSN

NVIDIA GB300 GPUs deliver huge AI efficiency gains in Deepseek R1 inference test

NVIDIA’s latest Blackwell-based GB300 GPUs are starting to show what they can do, and early results point to a massive jump in efficiency compared to the company’s previous generation. A recent ...
Business Insider

Google DeepMind researchers think they found a solution to AI's 'peak data' problem

The AI industry has hit "peak data," OpenAI cofounder Ilya Sutskever said recently. DeepMind researchers see outputs from new "reasoning" models as a source of fresh AI training data. A new AI ...