A top-notch editor with AI-generated Text Detector capabilities coming up soon

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Aug 6th, 2022
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01. Upload a document from your computer or cloud storage service.
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02. Modify your document or let the ai PDF editor summarize, rewrite, or proofread your PDF.
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03. Sign your document online in a few clicks.
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04. Send, export, fax, download, or print out your document.

How to achieve more with a professional AI-powered editor

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Today, Artificial Intelligence is a hot topic. Due to so many people looking for AI-generated Text Detector options, many online solutions are striving to improve their functionality as quickly as possible. DocHub is also working to extend its capabilities per user needs. Our editor will soon feature an effective ChatGPT-driven tool for you to complete virtually any task rapidly and effortlessly.

Check the instructions for using DocHub’s upcoming capabilities:

  1. Register for an account with DocHub and log in after email verification.
  2. Import your file that should be modified with your preferred upload option.
  3. Use the upper toolbar to make the primary edits to your file.
  4. Launch the AI assistant to apply its functions of AI-generated Text Detector.
  5. Verify the suggested changes before submitting them.
  6. Click Menu, and decide whether to download, export, or send your copy.

No matter how complicated your tasks are, DocHub is here to help you get them accomplished in minutes. Start your free trial now to explore its capabilities!

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How to AI-generated Text Detector

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this is ritesh srinivasan and welcome to my channel in this video lets look at this interesting research paper detect GPT detect GPT is a method for detecting AI generated text from Human written text so the key idea over here is that if you have a candidate passage or text okay which was generated from an AI model assuming gpt3 okay you want to detect if this text was from gpt3 or from any other or it is human written text okay so in this case it is whether it is from GPT 3 okay so what is done is that you take this text as input you give it to gpt3 you get a probability okay for this text you also use a model like T5 okay to generate some minor perturbations of this particular text those are these texts over here X1 X2 X N you also pass them to gpt3 and get their probabilities then what you do is that you compare the log ratio of right the log probability of P of X under EOS x 1 which is the perturbed samples so you sum it up basically you are taking the average of this log probabil

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