From Giants to Minis - The Emergence of Small Language Models

After two years of focus on massive AI models like GPT-4 and Gemini, companies are turning to Small Language Models that use millions rather than billions of parameters and run on regular hardware. These compact models offer lower costs, faster response times, better privacy since data stays local, and easier customization. Small models are already powering on-device phone features, code suggestions in programming tools, customer support systems, and smart appliances with offline capabilities.