Remember.

The article looks at machine learning (ML) and large language models (LLMs), focusing on a concept under development at Google Research called TITAN which is a ML system that can continue learning after its initial training has occurred and it has been put into use. Topics include building the capac...

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Detalles Bibliográficos
Publicado en:	Communications of the ACM Vol. 68; no. 4; pp. 5 - 6
Autor principal:	Cerf, Vinton G.
Formato:	Opinion
Publicado:	Association for Computing Machinery Apr2025
Materias:	Machine learning Language models Federated learning Computer security vulnerabilities
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	The article looks at machine learning (ML) and large language models (LLMs), focusing on a concept under development at Google Research called TITAN which is a ML system that can continue learning after its initial training has occurred and it has been put into use. Topics include building the capacity to forget previously learned information into ML systems and the possible vulnerability of ML systems to hacking and attacks.