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IMAGE GENERATOR
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Prompt: how to implement a sandbox environment for python with docker and containerI 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
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Prompt: how to export prompt and completion data in json format and convert to parquet formatI 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
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Prompt: Beef Burger, Sweet and Sour Fish 生成牛肉汉堡包和糖醋鱼的图片This picture from Zhipu AI is so real. You don't see Burgers with Sweet and Sour Fish often in the same Meal. You can even see the details of sesames on the Burgers.
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Prompt: implement self attention layer in transformer in python code using pytorch packageChatGPT 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.
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Prompt: implement self attention layer in transformer in python code using pyTorch packageOverall, Gemini did a good job though not optimal in the pytorch model coding test. I asked the same question on ChatGPT vs Gemini vs Claude. Among all these three platforms, Gemini‘s python code is correct but less concise. It also uses some unusual functions of pytorch package, such as """ context.permutate(0, 2, 1, 3).view(...) """. This is just a weighted average tensor operation, so this implementation is very uncommon and not necessary. And ChatGPT and Claude use the correct function for this operation, which is """ torch.einsum().reshape() """. Even though it's not a big deal, but generating common python code in Gemini is not optimal.
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