Small Language Models on Device: Edge Inference Architecture (2026)
How to run small language models (SLMs) on-device: model sizing, distillation, quantization, NPU acceleration, memory budgets, and when a 1-8B SLM beats a cloud LLM.
Small vs Large LLMs for Agentic Tasks: A 2026 Benchmark
A reproducible 2026 benchmark methodology comparing small and large LLMs on agentic tasks: cost, latency, tool-call accuracy, and when small wins.