Large language models (LLMs), artificial intelligence (AI) systems that can process human language and generate texts in ...
Gemini 3.1 Pro promises a Google LLM capable of handling more complex forms of work.
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 meaningful.… A ...
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 firms.
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.
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 ...
For those who enjoy rooting for the underdog, the latest MLPerf benchmark results will disappoint: Nvidia’s GPUs have dominated the competition yet again. This includes chart-topping performance on ...
Taalas has launched an AI accelerator that puts the entire AI model into silicon, delivering 1-2 orders of magnitude greater ...
Sarvam AI launches two advanced LLM models, 30B and 105B, outperforming competitors in key benchmarks, focusing on Indian language support.
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