Developers and system architects today face a growing demand to enable large language model variants on device. They are facing pressure to support transformer-capable models on constrained devices to ...

As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained ...

Researchers who found the bug warn that its Moderate rating understates a threat reaching across LLM gateways, MCP servers ...

Turning my old GPU into an LLM-hosting behemoth was the best decision ever ...

Many companies expand internationally by duplicating their U.S. website, translating the language, and keeping the same architecture, navigation, and content structure across markets. Then performance ...

Large language models (LLMs), which are the artificial intelligence (AI) systems behind modern chatbots, translation tools, ...

Unsurprisingly, recent frontier models showed a much stronger tendency to resist Russian propaganda than models from just a ...

Imagine working at a warehouse or office sometime in the near future, and you're asked to help a new trainee learn the basics ...

Here is how the prefill versus generation split exposes GPU structural inefficiencies in AI processor designs.

Google DeepMind has introduced Gemma 4 12B, a new open-weight multimodal model designed to bring agentic intelligence ...

State control of the media is shown to alter the training data of large language models (LLMs) through its impact on the information environment. This has a substantial effect on the output of LLMs, ...

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...