I few points I would like to make :

• The notebook has LLM workflows in Raku -- but, well, Wolfram Research / Mathematica technology is used.
  • Via the paclet RakuMode.
• This notebook was obtained via the Markdown to Mathematica converter over this original Markdown file.
• The notebook has workflows with both OpenAI's ChatGPT and Google's PaLM.
  • (And combinations of the two.)
• I am working on "re-implementing" the notebook into one with LLM workflows in WL.
  • The LLM function designs in Raku and WL are very similar (at this point.)
• I am working on a System Dynamics model based on the flowchart in the section "General structure of LLM-based workflows".
  • So, I need a document (or five) that proclaim it and demonstrate its applicability.

Here is the Python-centric version of this post/notebook: "Workflows with LLM functions (in Python)".