Concept information
Preferred term
prompt tuning
Definition
- The process of adapting LLMs to new tasks by training a small set of parameters, or prompts. (Shah, Prompt Tuning: A Powerful Technique for Adapting LLMs to New Tasks, on medium.com, 2023)
Broader concept
Example
- Although prompt tuning has been proven to be an efficient tuning paradigm for commonsense reasoning tasks it requires further exploration. (Huang, Li, Xu, Zhang, Gan, Zhang & Wang, 2023)
- Prompt Tuning necessitates approximately 0.2 times the training cost of vanilla fine-tuning utilizing only 0.0067% of the total parameters as trainable. (Somayajula, Liang, Zhang, Singh & Xie, 2024)
- Under the latest paradigm of prompt-tuning with generative PLMs they have not considered the explicit interaction between prompts and documents. (Zhang, Yang, Zhu, Lin, Xu & Liu, 2024)
In other languages
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French
URI
http://data.loterre.fr/ark:/67375/8LP-CRW81XDS-M
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