Today, MLCommons ® announced new results for its industry-standard MLPerf ® Inference v6.0 benchmark suite. This release includes several important advances that ensure the benchmark suite tests ...
IEEE Spectrum on MSN
Why are large language models so terrible at video games?
AI models code simple games, but struggle to play them ...
The final round of AI Madness 2026 is here. We pitted ChatGPT against Claude in 7 brutal, real-world benchmarks — from senior ...
This study introduces MathEval, a comprehensive benchmarking framework designed to systematically evaluate the mathematical reasoning capabilities of large language models (LLMs). Addressing key ...
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 ...
OpenAI on Monday released a large dataset for evaluating how well large language models answer questions related to health care. Experts lauded the open-source data and detailed evaluation rubrics, ...
Google's TurboQuant reduces the KV cache of large language models to 3 bits. Accuracy is said to remain, speed to multiply.
A new academic study challenges a core assumption in developing large language models (LLMs), warning that more pre-training data may not always lead to better models. Researchers from some of the ...
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