Make a ChatGPT-like interface to Mathematica documentation/ this site?

Question

It would be great if one could come up with a interface to Mathematica documentation (or possibly this site) in the spirit of ChatGPT?

We have Wolfram alpha to answer direct mathematical questions in plain language but it is not (?) directly interfaced to the language's help system which is becoming a bit big to browse.

At some stage this is a question for Wolfram but...

can we as a community define the precise requirement of such an interface? Or write a prototype which grep within the documentation?

The output could be as extensive as Wolfram alpha.

In some sense this question is the opposite of that answer which gives details beyond what is in the (standard) documentation.

It is also the opposite of the SummarizeDefinition function

---

To be a bit more specific, sometimes to find information in the documentation you need to know the jargon or specific keyword that was implemented within mathematica. It would therefore be great to have a chatbot which could 'linguistically understand' the concept and find the synonyms which are actually used within the Documentation.

---

Note added 23/3/23: it seems some of the issues are addressed by Wolfram's blog as, I quote, "chatgpt gets its wolfram superpowers".

---

Update: Mathematica 13.3 provides the answer straight out of the box with a LLM code assistant

Answer 1

This is not a full answer but a starting point, which illustrates both the strength (it looks reasonable) but also the strong limitation of present day chatbot in producing correct Mathematica code.

Indeed, using

  PacletInstall["ChristopherWolfram/OpenAILink"]
  Needs["ChristopherWolfram`OpenAILink`"]
  $OpenAIKey = "<sk-.... your key>" 

as described here, I can define a new function, ChatHelp as

ChatHelp[str_] := 
 Normal[PacletSymbol[
    "ChristopherWolfram/OpenAILink", 
     "ChristopherWolfram`OpenAILink`OpenAIChatComplete"][
    PacletSymbol[
     "ChristopherWolfram/OpenAILink", 
        "ChristopherWolfram`OpenAILink`OpenAIChatMessageObject"]
["user", str <> " in Mathematica"]]][[1, 2, 2]]
 

So that we can ask

  ChatHelp["hypergeometric functions"]

or

  ChatHelp["How to do Symbolic Integration?"]

which produces

---

One can iterate the same query, as in

ChatHelp["hypergeometric functions?"]
ChatHelp["hypergeometric functions?"]

or provide the chatbot with different details to get different answers; e.g.

ChatHelp["How to plot a graph?"]

gives a different answer than

ChatHelp["How to plot a graph with vertices?"]

---

Note that it can answer relatively complex queries such as:

ChatHelp["How to solve heat equations in cylindrical coordinates?"]

but the code it produces is not operational!

---

If I ask it to tell me about sines and cosines, as in

ChatHelp["sines and cosines"]

it writes:

---

3. To plot the sine and cosine functions over an interval of -[Pi]
   to [Pi]:

   Plot[{Sin[x], Cos[x]}, {x, -[Pi], [Pi]}]

Output:

---

which is plain weird since the link it produces does not exist! It does suggest that the chatbot seems to have learnt from stackexchange outputs given the syntax it uses.

---

In closing, note that one could use such function to automatically produces tons of apparently appealing, but in practice garbage answers on mathematica.stackexchange! Something to think about!

May be one solution would be

1. for mathematica/wolfram to parse and validate the code before the answer is produced?
2. and/or train the chatbot on the documentation only?

Answer 2

In addition to OpenAILink in the Wolfram Paclet Repository (see answer here by @chris), there is also an option via the Wolfram Function Repository. I did not want this answer to get lost in the comments, so here it is.

Function BirdChat in Wolfram Function Repository Open a notebook to chat with a cool bird Contributed by: Richard Hennigan (Wolfram Research)

and very similar:

Function AIAssistant in Wolfram Function Repository Open a notebook to chat with an AI programming assistant Contributed by: Richard Hennigan (Wolfram Research)

First of all, BirdChat requires an API key from OpenAI. Storing the API key with

SystemCredential["OPENAI_API_KEY"]="key" 

will make the key persistently available to BirdChat. Doc with examples you can find on the page I linked. I just will note that there are different modes. From simple usual expected chat

to using special prompt and the ChatGPT acting as kernel simulation (example under the "Neat Examples" section):

Answer 3

I was prompted to proclaim the paclet "OpenAIMode" here. :)

Here is a related presentation recording: "OpenAIMode demo".

---

Here is an example of how to find "help" within a Mathematica notebook using ChatGPT:

If the paclets "OpenAILink" and "OpenAIMode" are installed here is the WL code:

Needs["AntonAntonov`OpenAIMode`"]

OpenAIMode[]

SetOptions[OpenAIInputExecuteToText, OpenAITokenLimit -> 120];

Here is the OpenAI cell content:

How can use Flatten's second argument in Mathematica?

---

Lying with ChaptGPT

[...] The blog idea sounds controversial enough! (lying sounds strong, confused certainly!)

Using different temperature settings can produce statements that lie -- or are off-topic -- to different degrees: