Simbian Cyber Defense Benchmark reveals LLMs find and exploit vulnerabilities but fail at defense out-of-the-box without a sophisticated harness.
A Nature-published study by an international research team has found that current AI benchmarks fail to accurately measure large language models’ core capabilities. Existing tests often mix skills ...
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 ...
A Cairo-based artificial intelligence startup has released Horus 1.0-4B, a fully open-source large language model built in Egypt that outperforms several ...
Simbian’s new Cyber Defense Benchmark found that no leading large language model (LLM) could pass realistic enterprise cyber defense tests, despite their offensive capabilities. The study highlights a ...
Chinese artificial intelligence developer DeepSeek today released a new series of open-source large language models. V4, as ...
NEW YORK – Bloomberg today released a research paper detailing the development of BloombergGPT TM, a new large-scale generative artificial intelligence (AI) model. This large language model (LLM) has ...
DeepSeek says both models are more efficient and performant than DeepSeek V3.2 due to architectural improvements, and have ...
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