Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models ...

There's a whole world of tools to launch local LLMs out there, and these are some of the best.

With LLMs increasingly working multimodally, there are exciting developments for more performance and leaner sizes.

LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.

Google's Gemma 4 12B brings multimodal AI — audio, video, and text — to a standard 16GB laptop in 2026. No cloud required. Here's what it does and why it matters.

The chipset is built on TSMC's N4P node and has eight Cortex-A725 CPU cores, a Mali-G720 MC8 GPU and an NPU 880. Earlier this year, MediaTek unveiled ...

Reading a book about bowling is not the same as actually bowling. If that resonates with you and you want to learn more about large language models, check out the LLM From Scratch project. The ...

A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling Co-Design,” was published by researchers at University of Edinburgh, Peking ...

Amazon Web Services Inc. will make Cerebras Systems Inc.’s WSE-3 artificial intelligence chip available to its customers. The companies announced the initiative today. It’s part of a multiyear ...