Zhipu AI released GLM 5.2, a 744B parameter open-weight mixture-of-experts model that rivals Claude Opus in coding and visual design quality at lower inference cost. The model's MoE architecture activ…
A developer explains the sparse Mixture of Experts (MoE) architecture used in models like Mixtral, DeepSeek-MoE, and Grok-1, detailing how the router selects which experts to activate per token and wh…
Amalgafy Labs has achieved 21+ tokens per second inference on the Mixtral 8x7B model using only CPU and SSD storage, bypassing the need for GPU VRAM. The team's Micro-Expert-Router (MER) system levera…
A security engineer at a mid-size fintech company faced a 48-hour deadline from the Italian Data Protection Authority to list all AI systems processing EU resident data, including foundation models, t…
A developer built Micro-Expert-Router, a Rust inference engine that streams Mixture-of-Experts model weights directly from NVMe SSDs using io_uring with O_DIRECT, eliminating the need for GPU VRAM. Th…
Here is a 2-3 sentence factual summary of the article: The article argues that for local agent workloads like multi-turn tool use and code editing, Google's dense 31B-parameter Gemma 4 model is a bet…