当前，LLM 评测的通用榜单和常用基准陆续暴露出区分度下降、评审口径波动与数据污染等问题，促使业界愈发重视 LLM 评测体系有效性的。在此背景下，业界对 LLM Benchmark 本身的可靠性与寿命管理关注度提升，围绕评测可区分性、长期有效性与可信度等关键问题 ...

本文来自PRO会员通讯内容，文末关注「机器之心PRO会员」，查看更多专题解读。 当前，LLM 评测的通用榜单和常用基准陆续暴露出区分度下降、评审口径波动与数据污染等问题，促使业界愈发重视 LLM 评测体系有效性的。在此背景下，业界对 LLM Benchmark 本身的可靠 ...

LMEval aims to help AI researchers and developers compare the performance of different large language models. Designed to be accurate, multimodal, and easy to use, LMEval has already been used to ...

If you are interested in learning more about how to benchmark AI large language models or LLMs. a new benchmarking tool, Agent Bench, has emerged as a game-changer. This innovative tool has been ...

New “AI SOC LLM Leaderboard” Uniquely Measures LLMs in Realistic IT Environment to Give SOC Teams and Vendors Guidance to Pick the Best LLM for Their Organization Simbian's industry-first benchmark ...

Simbian today announced the “AI SOC LLM Leaderboard,” a comprehensive benchmark to measure LLM performance in Security Operations Centers (SOCs). The new benchmark compares LLMs across a diverse range ...

Training AI models is a whole lot faster in 2023, according to the results from the MLPerf Training 3.1 benchmark released today. The pace of innovation in the generative AI space is breathtaking to ...