A proposal to localising urban AI: a conceptual shift from generalist LLMs to task-specific SLMs
Abstract Urban AI discourse has been dominated by Large Language Models (LLMs), yet these models misalign with the specific operational needs of cities, which demand low-latency, context-sensitive, and infrastructure-light solutions. This opinion paper addresses that gap by proposing Small Language...
Na minha lista:
| Autor principal: | |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2026-02-01
|
| coleção: | Computational Urban Science |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s43762-026-00241-0 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|