At the moment GPT 3.5 and GPT 4 are all you can choose from in v13.3. But if you look in the app's Settings/AI Settings you'll see that support for Claude and Bard are on their way.

Hi Russ, long time since we worked on our Wolfram Solutions project together -- I still have all the code ;).

In the Wolfram solutions group, we have been working on quite a number of different demonstrations of how to use LLM's's in a variety of ways. One offshoot of that that I put out publicly on the paclet repository is this:

ChatGPTPromptExplorer

And in that paclet all the code is available -- including a custom GPT API calling function, so one can poke around in the code to see how I managed to do things,

And an offshoot of the various custom functions for directly creating chatbooks is this little bit of code that I pulled out of one of my other demonstration projects:

createAChatbook[persona_String,model_String]:=
    CreateDocument[
       {},

       StyleDefinitions -> "Chatbook.nb",
       DefaultNewCellStyle->"ChatInput",
       TaggingRules ->
         <|
           "ChatNotebookSettings" -> 
               <|
                  "Model" -> model,
                  "LLMEvaluator" -> persona,
                  "Assistance" -> True,
                  "ChatDrivenNotebook" -> True
               |>
          |>
    ]

If you execute it with, say,

createAChatbook["PlainChat", "gpt-3.5-turbo-16k"]

or this

createAChatbook["PlainChat", "gpt-4"]

it should work (it does for me ;-) as I have a gpt-4 enabled api key ).

If you try

createAChatbook["PlainChat", "gpt-4-32k"]

OpenAI will yell back at you.

Anyway, that bit of code may be helpful to folks when trying to programmatically create a chatbook. I actually don't know what the official code is within the chat book paclet that generates ChatBooks from the menu, so the approach in a bit of code that I have above may or may not processed overtime. But it's fun to play with.

And some of the options that I have in there may or may not work correctly (e.g. "ChatDrivenNotebook") but you can experiment...

ya. i mean we already use Palm/bard with the LLMfunctions and PalmLink paclet in the paclet repository.

but there is a way to set the GPT based models... i just don't know the location that the front end is pulling it from.

oh this works very nicely! thank you for this.

that project we did together was so lovely and good. i also have some version of the code. one day, perhaps, i will revisit some of those concepts!