To assess the accuracy of truthfulness evaluations, the study compares three methods: human evaluation, multiple-choice ...

Their performance and reliability require ... Denys Linkov presented the "A Framework for Building Micro Metrics for LLM System Evaluation" talk at QCon San Francisco. This article represents ...

Large language models (LLMs), such as the model behind OpenAI's popular platform ChatGPT, have been found to successfully ...

Remember, there’s no one-size-fits-all approach. The right metrics depend on your use case, your users and your vision for the product. By thoughtfully designing your evaluation strategy, you’ll set ...

MLCommons has enhanced AILuminate LLM v1.1, adding French language capabilities to industry-leading AI safety benchmarks.

Like its v1.0 predecessor, the French LLM version 1.1 was developed collaboratively ... Unlike many of peer benchmarks, none of the LLMs evaluated are given advance access to specific evaluation ...

By adjusting the CMake build files, he successfully compiled LLM models on the Pi Zero, despite its limited 512MB RAM and ...

The team evaluated the model on several benchmarks and compared it to ... The team built a training framework, HAI-LLM, from the ground up. They developed a pipeline parallelism algorithm called ...

Hugging Face researchers released an open source AI research agent called "Open Deep Research," created by an in-house team ...

"Companies around the world are increasingly incorporating AI in their products, but they have no common, trusted means of comparing model risk," said Rebecca Weiss, Executive Director of MLCommons.