Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
The company open sourced an 8-billion-parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.
You can even self-host it!
Abstract: Despite the potential of large language model (LLM) based register-transfer-level (RTL) code generation, the overall success rate remains unsatisfactory, with limited understanding of the ...
As AI deployments scale and start to include packs of agents autonomously working in concert, organizations face a naturally amplified attack surface.
AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.
The takeaway: As robotaxis and other AI-based technologies proliferate, so does the myth that these systems are fully autonomous. During a recent Senate hearing, industry leader Waymo provided the ...
Hi, thanks for maintaining this AIOps resource list. The way you group material into white papers, courses, industry practice, tools and datasets is very clear and helpful. I maintain an open source ...
Multilingual coding and tool use see boosts, with support for agent teams in Claude Code's research preview for parallel workflows. Product integrations expand its reach: an upgraded Claude in Excel ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results