You can use ChatGPT to generate codes for different programming languages, e.g. Java, C++, Python, Latex, etc.
You can use ChatGPT to generate codes for different programming languages, e.g. Java, C++, Python, Latex, etc.
how to implement a sandbox environment for python with docker and container
how to export prompt and completion data in json format and convert to parquet format
implement self attention layer in transformer in python code using pytorch package
I asked ChatGPT (GPT4o) question about python coding "sandbox python programs with Docker environment". The responses are helpful and the generated code samples are clear. But the website front end is having a URL rendering issue of the "Docker installation guide". The font is highlighted so it means it's a link. But there is no href or URL associated with the text and I can't find the installation guide it refers to. Is it a known problem? Reproducing links: https://chatgpt.com/share/67298cb0-47c0-8005-96ea-0562df9f7158
I asked ChatGPT (GPT 4o) a coding related questions "export prompt and completion data in json format and convert to parquet format", and the python code generated by ChatGPT are quite good. It gives me examples of detailed json data format, python code to convert raw json data to Parquet format and even recommends all the python libs requirements. Very helpful response from ChatGPT(GPT4o) !!! Responses from ChatGPT: Step 1: Export Data in JSON Format Step 2: Convert JSON to Parquet using Python Explanation of the Code Prerequisites. And the ChatGPT dialogue sharing link is here: https://chatgpt.com/share/67205caa-a068-8005-be6b-76eeed480fbe
ChatGPT did a good job on this python code test, which is to "implement self attention layer in transformer using pytorch package". Overall, the python code is correct and concise. After comparing ChatGPT vs Gemini vs Claude for coding, I find that the overall response from ChatGPT lacks of detailed explanation of meanings of each section of the code, which is less helpful than the response from Claude Sonnet.
My question for ChatGPT is "Show me the latex code of KL Divergence". Even though it gives me the latex code for KL Divergence already in the front, it provides a lot of unrelated information of basic latex usage such as how to include the package, which is not very relevant to my original intent.
I asked ChatGPT to write the python code for QuickSort Implementation. The results are attached. Pretty Amazing, right?
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