The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research.
JMIR Hum Factors
; 11: e53559, 2024 Mar 08.
Article
en En
| MEDLINE
| ID: mdl-38457221
ABSTRACT
More clinicians and researchers are exploring uses for large language model chatbots, such as ChatGPT, for research, dissemination, and educational purposes. Therefore, it becomes increasingly relevant to consider the full potential of this tool, including the special features that are currently available through the application programming interface. One of these features is a variable called temperature, which changes the degree to which randomness is involved in the model's generated output. This is of particular interest to clinicians and researchers. By lowering this variable, one can generate more consistent outputs; by increasing it, one can receive more creative responses. For clinicians and researchers who are exploring these tools for a variety of tasks, the ability to tailor outputs to be less creative may be beneficial for work that demands consistency. Additionally, access to more creative text generation may enable scientific authors to describe their research in more general language and potentially connect with a broader public through social media. In this viewpoint, we present the temperature feature, discuss potential uses, and provide some examples.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Medios de Comunicación Sociales
/
Lenguaje
Límite:
Humans
Idioma:
En
Revista:
JMIR Hum Factors
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos