Large tech companies now offer bite-sized versions of their flagship models, designed for a specific purpose: OpenAI presents GPT-4o and the miniaturized GPT-4o; Google DeepMind showcases Gemini Extremely and the compact Gemini Nano; Anthropic’s Claude 3 is available in three sizes: the robust Opus, the mid-range Sonnet, and the tiny Haiku. Microsoft is at the forefront of developing a range of small language models known as Phi.

Smaller companies are increasingly offering bespoke fashion options. Author, a pioneering AI startup, asserts that its latest language model rivals the performance of premier models across multiple key metrics, despite boasting a fraction of the parameters – mere 1/20th the size of its top-tier counterparts. 

Smaller fashion models are particularly environmentally friendly, allowing for quicker training and deployment. This affordable entry point is fantastic news. As a bonus, these smaller fashion statements also have a positive impact on the environment, consuming significantly less energy and vitality compared to their larger counterparts. 

These small fashion choices will seamlessly integrate into our daily lives: they’ll operate efficiently within our digital pockets, eliminating the need for cloud-based requests. Small, then, is a large factor.