As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

Have you ever wondered why off-the-shelf large language models (LLMs) sometimes fall short of delivering the precision or context you need for your specific application? Whether you’re working in a ...

Nvidia has set new MLPerf performance benchmarking records on its H200 Tensor Core GPU and TensorRT-LLM software. MLPerf Inference is a benchmarking suite that measures inference performance across ...

AUSTIN, Texas & OSLO, Norway--(BUSINESS WIRE)--Cognite, the global leader in AI for industry, today announced the launch of the Cognite Atlas AI™ LLM & SLM Benchmark Report for Industrial Agents. The ...

A new technical paper titled “FVEval: Understanding Language Model Capabilities in Formal Verification of Digital Hardware” was published by researchers at UC Berkeley and NVIDIA. “The remarkable ...

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.

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 ...

Large language models (LLMs) show promise in assisting knowledge-intensive fields such as oncology, where up-to-date information and multidisciplinary expertise are critical. Traditional LLMs risk ...

Android Bench will act as a leaderboard to rank the AI models that perform the best when developing an Android app.

Company of China, Ltd. ("Ping An" or "the Group"; HKEX: 2318/82318; SSE: 601318) announced that PingAnGPT-Qwen3-32B, the Group's financial large language model (LLM), achieved the highest overall ...