Package: MacBehaviour 1.2.4
Xufeng Duan
MacBehaviour:Behavioural Studies of Large Language Models
Efficient way to design and conduct psychological experiments for testing the performance of large language models. It simplifies the process of setting up experiments and data collection via language models’ API, facilitating a smooth workflow for researchers in the field of machine behaviour.
Authors:
MacBehaviour_1.2.4.tar.gz
MacBehaviour_1.2.4.tar.gz(r-4.5-noble)MacBehaviour_1.2.4.tar.gz(r-4.4-noble)
MacBehaviour_1.2.4.tgz(r-4.4-emscripten)MacBehaviour_1.2.4.tgz(r-4.3-emscripten)
MacBehaviour.pdf |MacBehaviour.html✨
MacBehaviour/json (API)
NEWS
| # InstallMacBehaviour in R: |
| install.packages('MacBehaviour',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 days agofrom:80cfcfed03
Exports:experimentDesignloadDatamagicTokenizerpreCheckrunExperimentsetKey
Dependencies:askpassclicurldplyrfansigenericsgluehttrjsonlitelifecyclemagrittrmimeopensslopenxlsxpillarpkgconfigR6Rcpprjsonrlangstringisystibbletidyselectutf8vctrswithrzip
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Step3: Generate the experimental design matrix. | experimentDesign |
| Step2: Load and format data | loadData |
| magicTokenizer | magicTokenizer |
| Step4: Pre-check for token usage in experiment design. | preCheck |
| Run an Experiment Based on the Configuration | runExperiment |
| Step1: Set model's API key and url. | setKey |
