Small language models

A subset of language models designed to be more efficient and lightweight compared to larger models like GPT-3 or GPT-4. These models are optimized for scenarios with limited computational resources or where real-time processing is required, maintaining a balance between performance and resource consumption. They are suitable for deployment on edge devices or in applications with strict latency requirements, benefiting users who need efficient AI solutions in constrained environments.