Researchers from Meta and Google built AutoTTS to automatically discover optimal LLM reasoning strategies, cutting token ...

MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.

MIT's MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining and see a 26% performance gain, researchers say.

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 ...

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 ...

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 ...

To know how a system performs across a range of AI workloads, you look at its MLPerf benchmark numbers. AI is rapidly evolving, with generative AI workloads becoming increasingly prominent, and MLPerf ...

While most countries’ lawmakers are still discussing how to put guardrails around artificial intelligence, the European Union is ahead of the pack, having passed a risk-based framework for regulating ...

MLCommons today released AILuminate, a new benchmark test for evaluating the safety of large language models. Launched in 2020, MLCommons is an industry consortium backed by several dozen tech firms.

Large language models (LLMs) are increasingly used for cyber defense applications, although concerns about their reliability and accuracy remain a significant limitation in critical use cases. A team ...