Row 8342

Row ID: 8342 | Dataset Entry | Axioma AXP Content Repository

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I started working on a simple project to parametrize LLM prompts.

I've been using the chatGPT API for a language learning application and found I had to fine-tune the prompt again and again to get what I wanted. It was a very messy process and difficult to track and doccument so I created a python package to help out with that:

[https://pypi.org/project/llm-parametrizer/](https://pypi.org/project/llm-parametrizer/)

It lets you make several API calls concurrently with different parameters. You can export the results as csv or get them as JSON or text.

Feel free to comment or collaborate if you are interested!

FieldValue
text I started working on a simple project to parametrize LLM prompts. I've been using the chatGPT API for a language learning application and found I had to fine-tune the prompt again and again to get what I wanted. It was a very messy process and difficult to track and doccument so I created a python package to help out with that: [https://pypi.org/project/llm-parametrizer/](https://pypi.org/project/llm-parametrizer/) It lets you make several API calls concurrently with different parameters. You…
label r/openai
dataType post
communityName r/OpenAI
datetime 2024-05-19
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Raw Record

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  "text": "I started working on a simple project to parametrize LLM prompts.\n\nI've been using the chatGPT API for a language learning application and found I had to fine-tune the prompt again and again to get what I wanted. It was a very messy process and difficult to track and doccument so I created a python package to help out with that:\n\n[https://pypi.org/project/llm-parametrizer/](https://pypi.org/project/llm-parametrizer/)\n\nIt lets you make several API calls concurrently with different parameters. You can export the results as csv or get them as JSON or text.\n\nFeel free to comment or collaborate if you are interested!",
  "label": "r/openai",
  "dataType": "post",
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  "datetime": "2024-05-19",
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}
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