AI Model Names Are So Complex: Here's How I'd Simplify Them
1 min read
Summary
As the number of AI models increases, it is becoming harder for users to understand and differentiate them due to their complex names full of acronyms and technical jargon.
This hinders accessibility for the average user and creates a barrier to understanding and using these tools to their full potential.
AI model names are like shorthand for their key attributes, but their current naming conventions prioritise technical specifications over user-friendliness.
To improve this, AI nomenclature should be simplified, intuitive, and descriptive, with names conveying each model’s primary function or capabilities, and could be categorised accordingly.
Additionally, improving the discovery process could help users quickly find appropriate AI models and tools for their tasks without having to sift through an increasingly complex set of acronyms.
