Large Language Models (LLMs) such as GPT-4, Gemini-Pro, Llama 2, and medical-domain-tuned variants like Med-PaLM 2 have ...

Artificial intelligence has traditionally advanced through automatic accuracy tests in tasks meant to approximate human knowledge. Carefully crafted benchmark tests such as The General Language ...

What if the tools we trust to measure progress are actually holding us back? In the rapidly evolving world of large language models (LLMs), AI benchmarks and leaderboards have become the gold standard ...

In a region still chasing hyperscalers, the more immediate challenge, especially for cross-border enterprises, is how to ...

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 ...

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 ...

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 ...

A team of Google researchers has published a technique that could let developers squeeze roughly three times more throughput ...

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 ...