“Mostly right is the wrong bar,” Pearl CEO Andy Kurtzig says, as research tests top AI models against professional judgment.

What if you could transform the way you evaluate large language models (LLMs) in just a few streamlined steps? Whether you’re building a customer service chatbot or fine-tuning an AI assistant, the ...

Generative artificial intelligence evaluation startup Galileo Technologies Inc. said today it’s launching the industry’s first family of “evaluation foundation models,” which have been customized to ...

Large language models (LLMs) have significantly advanced in recent years, greatly enhancing the capabilities of retrieval-augmented generation (RAG) systems. However, challenges such as semantic ...

The US government is reportedly asking Meta to share its AI models for review, in the midst of growing security and safety ...

As enterprises increasingly integrate AI across their operations, the stakes for selecting the right model have never been higher and many technology leaders lean heavily on standard industry ...

Companies can evaluate AI models before use. Companies can evaluate AI models before use. Amazon wants users to evaluate AI models better and encourage more humans to be involved in the process.

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 ...

As new large language models, or LLMs, are rapidly developed and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated. To identify ...

Neo Research found that Chinese AI models including Kimi K2.6 and DeepSeek V4 Pro can tell when they are being evaluated, raising questions about test validity.