“This project started with the initial thought that we should build a benchmark where diverse questions are freshly generated every time we ... downsides of LLM judging.” Bar plot comparing ...

Anthropic is developing “interpretable” AI, where models let us understand what they are thinking and arrive at a particular ...

F or those who enjoy rooting for the underdog, the latest MLPerf benchmark results will disappoint: Nvidia’s GPUs have ...

Simbian ®, on a mission to solve security for businesses using AI, today announced the "AI SOC LLM Leaderboard" - the ...

But how do companies decide which large language model (LLM ... benchmark is not automatically suitable for use in real, complex scenarios in which several abilities are required at the same time.

At the time of article creation, 69 types of LLM were tested by LLMonitor. The list of LLMs that took the benchmark test is below.

Early Grok-3 benchmarks ... to set up — a record time especially since Nvidia's CEO Jensen Huang said that that usually takes four years. Grok 3 isn’t just a single LLM though — instead ...

The LLM's ability to generate computer code got ... GPT appears to be getting less accurate over time. Perhaps more distressingly, no one has a good explanation for the troubling deterioration.

In this guide by Trelis Research, you’ll discover how to design, evaluate, and refine LLM benchmarks that align perfectly with your application’s requirements—without the guesswork.

Every few months, a new large language model (LLM ... or too slow for real-time applications. A great example of this is how Open AI’s GPT o1(a leader in many benchmarks at release time ...