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Sampling for ChatGPT
Recent advances of chatbot development and its application in Stance Detection domain makes prompt-based studies even more relevant as before. Due to the simplicity of syntax constructure of English texts and leveraged amount of data, makes it the main in the sense of deepest understanding of the questions to the best of my personal knowledge at present. Everything mentioned above makes the further advances of prompting application for ChatGPT in this field become very important.
In order to perform the latter, a side-project arekit-ss for sampling large documents into small piece of texts with further translation and wrapping into promptings:
In AREkit since 0.23.1
, we provide PromptedSampleRowProvider
for prompting.
Update 07/11/2024: The application of the ChatGPT for the data extracted via arekit-ss
is depicted in the following llm-prompt-checking
project
© Nicolay Rusnachenko 2016-Present. Released under the MIT license.