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Generates ratings for textual stimuli using large language models. It allows users to evaluate idioms and similar texts by combining context, prompts, and stimulus inputs. The package supports both 'OpenAI' and 'DeepSeek' APIs by enabling users to switch models simply by specifying the model parameter. It implements methods for constructing the request payload and parsing numeric ratings from the model outputs.
Version: | 1.0.0 |
Imports: | tidyverse, openai, httr, jsonlite |
Suggests: | testthat |
Published: | 2025-02-17 |
DOI: | 10.32614/CRAN.package.chatRater |
Author: | Shiyang Zheng [aut, cre] |
Maintainer: | Shiyang Zheng <Shiyang.Zheng at nottingham.ac.uk> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | chatRater results |
Reference manual: | chatRater.pdf |
Package source: | chatRater_1.0.0.tar.gz |
Windows binaries: | r-devel: chatRater_1.0.0.zip, r-release: chatRater_1.0.0.zip, r-oldrel: chatRater_1.0.0.zip |
macOS binaries: | r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): chatRater_1.0.0.tgz, r-release (x86_64): chatRater_1.0.0.tgz, r-oldrel (x86_64): chatRater_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.