The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research
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 cu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2024-03-01
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| Series: | JMIR Human Factors |
| Online Access: | https://humanfactors.jmir.org/2024/1/e53559 |
| _version_ | 1797268185884393472 |
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| author | Joshua Davis Liesbet Van Bulck Brigitte N Durieux Charlotta Lindvall |
| author_facet | Joshua Davis Liesbet Van Bulck Brigitte N Durieux Charlotta Lindvall |
| author_sort | Joshua Davis |
| collection | DOAJ |
| description |
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. |
| first_indexed | 2024-04-25T01:28:28Z |
| format | Article |
| id | doaj.art-dea68a58980342bf9d1ca5faf906d5aa |
| institution | Directory Open Access Journal |
| issn | 2292-9495 |
| language | English |
| last_indexed | 2024-04-25T01:28:28Z |
| publishDate | 2024-03-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Human Factors |
| spelling | doaj.art-dea68a58980342bf9d1ca5faf906d5aa2024-03-08T15:00:31ZengJMIR PublicationsJMIR Human Factors2292-94952024-03-0111e5355910.2196/53559The Temperature Feature of ChatGPT: Modifying Creativity for Clinical ResearchJoshua Davishttps://orcid.org/0000-0001-7324-6018Liesbet Van Bulckhttps://orcid.org/0000-0001-8975-4455Brigitte N Durieuxhttps://orcid.org/0000-0001-6036-1420Charlotta Lindvallhttps://orcid.org/0000-0003-2090-2039 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.https://humanfactors.jmir.org/2024/1/e53559 |
| spellingShingle | Joshua Davis Liesbet Van Bulck Brigitte N Durieux Charlotta Lindvall The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research JMIR Human Factors |
| title | The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research |
| title_full | The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research |
| title_fullStr | The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research |
| title_full_unstemmed | The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research |
| title_short | The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research |
| title_sort | temperature feature of chatgpt modifying creativity for clinical research |
| url | https://humanfactors.jmir.org/2024/1/e53559 |
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