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Thoughts on AI Interoperability.

The author reflects on the interoperability of machine learning (ML) and large language model (LLM) systems, considering the potential for specialized APIs, federated learning, and cooperative interaction among ML systems, suggesting the need for semantic and syntactic exchange standards to ensure p...

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Publicado en:Communications of the ACM Vol. 67; no. 4; pp. 5 - 6
Autor principal: Cerf, Vinton G.
Formato: Opinion
Publicado: Association for Computing Machinery Apr2024
Materias:
Machine learning
Application program interfaces
Language models
Federated learning
Semantics
Syntax (Grammar)
Standards
Acceso en línea:Ver este registro en EBSCOhost
Sumario:The author reflects on the interoperability of machine learning (ML) and large language model (LLM) systems, considering the potential for specialized APIs, federated learning, and cooperative interaction among ML systems, suggesting the need for semantic and syntactic exchange standards to ensure precision in information exchange. They invite input from more qualified individuals to further develop these ideas.