Optimizing Small Language Models for Local Edge Inference: Techniques, Constraints, and Production Deployment Patterns
Learn practical techniques to squeeze LLMs onto edge hardware, manage resource limits, and apply proven deployment patterns.
Edge
Optimizing Small Language Models: Pruning, Quantization, and Deployment for Local Edge Inference
A deep dive into pruning, quantization, and production‑ready deployment of compact LLMs on edge hardware, with code snippets and best‑practice patterns.