Solving Homework Problems, Puzzles, Competition Problems, Olympiad Problems with ChatGPT and Computation
Solving Homework Problems, Puzzles, Competition Problems, Olympiad Problems with ChatGPT and Computation
Over the past few weeks, I have been accumulating a variety of math problems from resources such as Mathematics Magazine, Crux Mathematicorum, American Mathematical Monthly, universirty Mathematics competitions, National Mathematics Olympiads, and more. I have been experimenting with these problems in ChatGPT with the Wolfram Plugin and successfully solving a good fraction of them. I kept the ones that ChatGPT with the Wolfram plugin could solve in a notebook.
Recently, ChatGPT introduced a bookmarking feature for sessions. This greatly simplifies the process of sharing a chat, rendering screenshot-taking redundant.
Also recently I got some access to the Code Interpreter version of ChatGPT. I found this intriguing and decided to test the same problems on this platform as well.
Code Interpreter ChatGPT succeeded in about 50% of the problems.
The links to both the Wolfram Plugin chat sessions and the Code Interpreter chat sessions can be found below and show the approaches used and the code executed..
In cases where the Code Interpreter successfully solved a problem, I compared the length of the actual code (including comments for simplicity). On average, the Wolfram Language code was roughly 27% the size of the Code Interpreter’s Python code.
Recently, ChatGPT introduced a bookmarking feature for sessions. This greatly simplifies the process of sharing a chat, rendering screenshot-taking redundant.
Also recently I got some access to the Code Interpreter version of ChatGPT. I found this intriguing and decided to test the same problems on this platform as well.
Code Interpreter ChatGPT succeeded in about 50% of the problems.
The links to both the Wolfram Plugin chat sessions and the Code Interpreter chat sessions can be found below and show the approaches used and the code executed..
In cases where the Code Interpreter successfully solved a problem, I compared the length of the actual code (including comments for simplicity). On average, the Wolfram Language code was roughly 27% the size of the Code Interpreter’s Python code.
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CITE THIS NOTEBOOK
CITE THIS NOTEBOOK
100 Math problems: ChatGPT with Wolfram plugin vs the Code Interpreter Model
by Michael Trott
Wolfram Community, STAFF PICKS, June 5 2023
https://community.wolfram.com/groups/-/m/t/2931334
by Michael Trott
Wolfram Community, STAFF PICKS, June 5 2023
https://community.wolfram.com/groups/-/m/t/2931334