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 ...

Have you ever wondered why off-the-shelf large language models (LLMs) sometimes fall short of delivering the precision or context you need for your specific application? Whether you’re working in a ...

Adoption trends signal accelerating open-source growth as enterprises rethink long-term AI infrastructure strategySeattle, Washington, United ...

AUSTIN, Texas & OSLO, Norway--(BUSINESS WIRE)--Cognite, the global leader in AI for industry, today announced the launch of the Cognite Atlas AI™ LLM & SLM Benchmark Report for Industrial Agents. The ...

The development of DeepSeek v2.5 involved the fusion of two highly capable models: DeepSeek version 2 0628 and DeepSeek Coder version 2 0724. By combining the strengths of these models, DeepSeek v2.5 ...

A new technical paper titled “FVEval: Understanding Language Model Capabilities in Formal Verification of Digital Hardware” was published by researchers at UC Berkeley and NVIDIA. “The remarkable ...

Dec. 4, 2024 — MLCommons today released AILuminate, a safety test for large language models. The v1.0 benchmark – which provides a series of safety grades for the most widely-used LLMs – is the first ...

Google has introduced a leaderboard that benchmarks how well AI models handle Android mobile development tasks.

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 ...

In April of this year, Microsoft announced the Phi-3 family of small language models (SLMs). The Phi-3 models significantly outperformed models of the same and larger sizes on key benchmarks. In fact, ...