I for few years now I actively work on Raku tooling for Data Science (DS) and Large Language Models (LLM).

For more details see here: https://tinyurl.com/ycyntmh6 .

Here is an example of using a Raku made Command Line Interface (CLI) app/script for translating natural language commands into DS computational workflows (via LLMs):

> concretize --l=Python make a quantile regression pipeline over dfTemperature using 24 knots an interpolation order two

# qrObj = (Regressionizer(dfTemperature)

# .echo_data_summary()

# .quantile_regression(knots = 24, probs = [{0.25, 0.5, 0.75}], order = 2)

# .plot(date_plot = False)

# .errors_plot(relative_errors = False, date_plot = False))