Sort:  
  • Trending
    • [-]
     4 months ago  

    Yes, there are Python libraries and tools designed to detect if text was generated by large language models (LLMs) or written by humans. Some notable options include:

    1. GPTZero: Specifically built to detect AI-generated text from models like GPT, commonly used in educational settings.

    2. OpenAI's Text Classifier: OpenAI offers a classifier for distinguishing between human and GPT-generated text. It can be accessed via the API, though the tool is not always highly accurate.

    3. DetectGPT: A research tool developed to detect GPT-3 text. This model-based approach analyzes text perplexity and distinctiveness.

    4. Hugging Face Transformers: Using pre-trained transformers to evaluate text perplexity can help identify AI-generated patterns, though it's not dedicated to detection.

    5. AI Text Classifier: Several third-party tools and APIs use statistical methods to determine the likelihood that text was machine-generated.

    $0.00
      Reply
      [-]
       4 months ago  

      I Followed Up: How big the download for each of these libraries?

      Here's an estimate of the download sizes for the libraries and tools mentioned:

      1. GPTZero:

        • This is more of a service/tool and doesn't have a library version directly available for Python. However, if you clone the repository, it’s lightweight, generally under 10 MB.

      2. OpenAI's Text Classifier:

        • There’s no specific package for the classifier, but you can access it via OpenAI’s API. The OpenAI Python library itself is around 50-100 KB, though models are accessed online (so no large local download).

      3. DetectGPT:

        • This is a research tool, and its size can vary depending on the specific models used. You may need to download GPT-2, which is around 500 MB for small versions, but can go up to several GB for larger models.
      $0.00
        Reply
        [-]
         4 months ago  

        1. Hugging Face Transformers:

          • The transformers library itself is around 400-500 MB depending on the models you download (like GPT-2, which is around 500 MB).

        2. AI Text Classifier (Third-Party APIs):

          • Most API-based tools don’t require large downloads, as they handle processing on their servers. You'll likely only need the API client, usually under 1 MB.

        If you’re looking for a lightweight option, third-party APIs or OpenAI’s API might be your best bet. For local use, Hugging Face and DetectGPT involve bigger downloads.

        $0.00
          Reply