These slides challenge the assumption that bigger is always better. While most people know large language models with billions of parameters, fewer ask whether every problem actually needs that scale – especially when compute, budget, and time costs grow alongside size.

Each slide makes the case that small language models aren't less intelligent, they're purpose-built – focused on narrower, practical scopes.

For a full definition and a full breakdown of how SMLs work, check our glossary article on small language model.