Prompt tuning

Technique used in natural language processing (NLP) to improve the performance of language models by fine-tuning pre-trained models through adjusting prompts or input text. This method enhances tasks like text generation, translation, and question-answering by optimizing the quality of the prompts to better align with desired outputs. It is particularly beneficial for NLP practitioners and researchers aiming to increase the accuracy and relevance of language model responses.

Prompt tuning was discovered on May 23rd 2023 and it currently has a search volume of 3.6K with a growth of +99X+.