SLM vs. LoRA LLM: Edge Deployment and Fine-Tuning Compared

A concise overview comparing the advantages and limitations of full fine-tuning Small Language Models (SLMs) versus LoRA-based fine-tuning of Large Language Models (LLMs). The article covers inference efficiency, quantization methods, robustness and deployment strategies on constrained hardware