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LLMs as Function Approximators: Terminology, Taxonomy, and Questions for Evaluation

Fuente: arXiv

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Dettagli Bibliografici
Autore principale:	Schlangen, David
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
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