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and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated.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 ...
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.
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 ...
To stay up to date and work forward in their fields, scientists must have at their fingertips and in their minds thousands of published studies. Large language models (LLMs) show promise as a tool for ...
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 ...
Researchers debut "Humanity’s Last Exam," a benchmark of 2,500 expert-level questions that current AI models are failing.
For Android app developers relying on AI to code, picking the right model can be tricky. Not all models are built the same, and many are not specifically trained for Android development workflows. To ...
OpenAI today detailed o3, its new flagship large language model for reasoning tasks. The model’s introduction caps off a 12-day product announcement series that started with the launch of a new ...
The rivalry between Qwen 3.5 and Sonnet 4.5 highlights the shifting priorities in large language model development. Qwen 3.5, ...
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 ...
Large language models (LLMs), artificial intelligence (AI) systems that can process human language and generate texts in ...
Sarvam AI's 105B is a genuine engineering achievement. But India still lacks a trusted, independent institution to verify whether its sovereign models perform as claimed.