SiliconANGLE

MLCommons releases new AILuminate benchmark for measuring AI model safety

MLCommons today released AILuminate, a new benchmark test for evaluating the safety of large language models. Launched in 2020, MLCommons is an industry consortium backed by several dozen tech ...
Hosted on MSN

AI benchmarks are a bad joke – and LLM makers are the ones laughing

AI companies regularly tout their models' performance on benchmark tests as a sign of technological and intellectual superiority. But those results, widely used in marketing, may not be ...
InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
VentureBeat

Google DeepMind researchers introduce new benchmark to improve LLM factuality, reduce hallucinations

Hallucinations, or factually inaccurate responses, continue to plague large language models (LLMs). Models falter particularly when they are given more complex tasks and when users are looking for ...
Virtualization Review

AI's Heavy Hitters: Best Models for Every Task

In today's crowded AI landscape, organizations looking to leverage AI models are faced with an overwhelming number of options. But how to choose? An obvious starting point are all the various AI ...

Taalas Launches Hardcore Chip With ‘Insane’ AI Inference Performance

Taalas has launched an AI accelerator that puts the entire AI model into silicon, delivering 1-2 orders of magnitude greater ...
VentureBeat

Beyond generic benchmarks: How Yourbench lets enterprises evaluate AI models against actual data

Every AI model release inevitably includes charts touting how it outperformed its competitors in this benchmark test or that evaluation matrix. However, these benchmarks often test for general ...

Sarvam AI unveils indigenously-built 30B and 105B LLM models

Sarvam AI launches two advanced LLM models, 30B and 105B, outperforming competitors in key benchmarks, focusing on Indian language support.