Will large language models really change how work is done? even as organizations adopt increasingly powerful LLMs, they will find it difficult to shed their reliance on humans

Generative AI applications like ChatGPT demonstrate how large language models can quickly and cheaply perform some tasks that only humans could do before. Organizations might see an opportunity to use this technology to automate knowledge work, but implementing it comes with practical challenges tha...

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Detalles Bibliográficos
Otros Autores: Cappelli, Peter, author (author), Tambe, Prasanna, author, Yakubovich, Valery, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Cambridge, Massachusetts] : MIT Sloan Management Review 2024.
Edición:[First edition]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825939206719
Descripción
Sumario:Generative AI applications like ChatGPT demonstrate how large language models can quickly and cheaply perform some tasks that only humans could do before. Organizations might see an opportunity to use this technology to automate knowledge work, but implementing it comes with practical challenges that still require skilled employees’ involvement. This suggests that while newer AI tools might be better equipped to handle some tasks, they are unlikely to reshape organizations’ reliance on humans.
Notas:Reprint #65329.
Descripción Física:1 online resource (8 pages)