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Three lessons from chatting about strategy with ChatGPT : when generative AI's capacity for strategy creation is put to the test, it reveals where its strengths lie, and where humans still have the edge /
Large language models like ChatGPT are generating excitement about their potential use cases. A pair of business strategists decided to test whether the tool can support ideation, experimentation, evaluation, and storytelling as part of the strategy creation process. In a series of experiments, they...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
MIT Sloan Management Review,
2023.
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| Edición: | [First edition]. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 1 | 0 | |a Three lessons from chatting about strategy with ChatGPT : |b when generative AI's capacity for strategy creation is put to the test, it reveals where its strengths lie, and where humans still have the edge / |c Christian Stadler, Martin Reeves. |
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| 520 | |a Large language models like ChatGPT are generating excitement about their potential use cases. A pair of business strategists decided to test whether the tool can support ideation, experimentation, evaluation, and storytelling as part of the strategy creation process. In a series of experiments, they posed a realistic question of strategy to ChatGPT, followed by iterative follow-up questions. In this article, they share three lessons that emerged from their experiments with generative AI. | ||
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