Category: Small language models

Anthropic’s latest research indicates that small, open‑weight language models are approaching the ability to run autonomously on everyday Internet‑of‑Things hardware. Their Frontier Red Team reports that a 9‑billion‑parameter model successfully performed inference on eight of nine tested devices,…

Key developments: – Recent benchmarks show 1‑13B‑parameter SLMs such as Phi‑3.5‑Mini, Gemma and Qwen2 achieve roughly 90% of the capability of much larger models while costing only about 10% as much, thanks to specialized NPUs, hybrid architectures and…

Key developments: Recent releases such as Anthropic’s Claude Haiku 5.5, which costs about 75% less than its predecessor, and the broader adoption of 1‑13 B‑parameter models like Microsoft’s Phi‑3.5‑Mini, Google’s Gemma and Alibaba’s Qwen2, show that SLMs can achieve roughly…