Small Language Models

This year’s list highlights the growing interest in small language models, which, despite having less training data, can excel in specific tasks. These models are tailored for particular industries, like law or manufacturing, proving that specialized knowledge can outweigh the need for extensive general data. Additionally, smaller models may offer a more energy-efficient alternative to their larger counterparts, addressing concerns about the electricity consumption of AI technologies.