Most benchmarks struggle to assess whether the model is truly “reasoning” or merely recognizing patterns from its training ...

Now open source, xbench uses an ever changing evaluation mechanism to look at an AI model's ability to execute real-world tasks and make it harder for model makers to train on the tests.

The limits of traditional testing. If AI companies have been slow to respond to the growing failure of benchmarks, it’s partially because the test-scoring approach has been so effective for so long.

Strategic benchmarking looks at what other companies are doing in terms of top management capabilities, strategic initiatives, competitive product development and other long-term qualities and ...

The Center’s financial benchmarking approach has thus far been focused on Medicare Fee-for-Service populations, but it may be possible, to extend these same principles and adjustments to future ...

The researchers applied their benchmark approach to 12 prominent language models (LLMs). The results make it clear that none of the language models analyzed today fully meet the requirements of ...

Other benchmarking tools rely on anonymized datasets and provide little insight, and while indices can be used, ... Making a winning case for a new investment approach with impartial peer data; ...

Crowdsourced AI benchmarks like Chatbot Arena, which have become popular among AI labs, have serious flaws, some experts say. ... It’s a flawed approach, however, ...