Large language overkill: How SLMs can beat their bigger, resource-intensive cousins

Leaner large language models could enable efficient local use on phones and laptops

Large language models (LLMs) are increasingly automating tasks like translation, text classification and customer service. But tapping into an LLM's power typically requires users to send their requests to a centralized server—a process that's expensive, energy-intensive and often slow.

In "AI/ML News"