Artificial intelligence group MLCommons unveiled two new benchmarks that it said can help determine how quickly ...

A Meta exec has denied a rumor that the company trained its AI models to present well on benchmarks while concealing the ...

The improved benchmarks will help enterprises select hardware for AI workloads, but are still no substitute for measuring ...

Graph neural nets have grown in importance as a component of programs that use gen AI. For example, Google's DeepMind unit ...

AGI-2, builds on the first iteration by blocking brute force techniques and designing new tasks for next-gen AI systems.

MLCommons announced new results for its MLPerf Inference v5.0 benchmark suite, which delivers machine learning (ML) system ...

Hugging Face warned that Yourbench is compute intensive but this might be a price enterprises are willing to pay to evaluate models on their data.

SAN FRANCISCO, April 2 (Reuters) - Artificial intelligence group MLCommons unveiled two new benchmarks that it said can help determine how quickly top-of-the-line hardware and software can run AI ...

One of the new benchmarks is based on Meta's so-called Llama 3.1 405-billion-parameter AI model, and the test targets general question answering, math and code generation. The new format tests a ...