How to Use GPTZero | GPTZero Tutorial
TLDRIn this tutorial, Luke demonstrates how to use GPTZero to detect AI-generated text. He walks through the dashboard, explaining the text scan, single file upload, and batch file upload features. The tool analyzes text for AI involvement, providing insights and statistics. Luke also shows how to use GPTZero for plagiarism detection, highlighting its ability to compare texts against various online sources. The tutorial concludes with guidance on seeking support if needed.
Takeaways
- π GPTZero is a tool for scanning text to detect AI involvement.
- π Users can scan text through the 'Text Scan' feature or upload files for analysis.
- π Supported file types include PDFs, Word documents, and plain text files.
- π After entering or uploading text, clicking 'Get Results' initiates the analysis.
- π Results display insights and statistics, including a sentence-by-sentence overview highlighting AI involvement.
- π‘ Sentences with AI involvement are highlighted in yellow for easy identification.
- π GPTZero provides statistics such as perplexity and burstiness to measure writing style.
- π The 'Single File Upload' feature allows for uploading a single document for analysis.
- π 'Batch File Upload' enables the analysis of multiple files simultaneously.
- π GPTZero also has plagiarism detection capabilities, comparing text to various online sources.
- π Plagiarism detection shows the percentage of the document found online and identifies similar text.
- π Plagiarism scanning is a premium feature available only on the educator and pro plans.
Q & A
What is the purpose of the GPTZero tool?
-GPTZero is a tool designed to analyze text and determine if there is any AI involvement in its creation.
What are the different methods to scan text using GPTZero?
-GPTZero offers three methods to scan text: the tech scanned feature, single file upload, and batch file upload.
Which file types are supported by GPTZero for scanning?
-GPTZero supports PDFs, Word documents, and plain text files for scanning.
How does the text scan feature work on GPTZero?
-To use the text scan feature, you enter or paste the text you want to analyze, and then click on the 'get results' button to initiate the text analysis by GPTZero.
What kind of insights does GPTZero provide after analyzing text?
-GPTZero provides insights and relevant statistics, including a sentence by sentence overview highlighting sentences it thinks have AI involvement, as well as statistics like perplexity and burstiness.
How can you upload a single file for analysis in GPTZero?
-To upload a single file, you click 'choose file', select the document, and then click 'open'. GPTZero will extract the text and provide the analysis results.
What is the batch file upload feature in GPTZero used for?
-The batch file upload feature allows you to upload and analyze multiple files at once, which is useful when you have more than one file to scan.
How can you access the plagiarism detection feature in GPTZero?
-Plagiarism detection is accessed similarly to AI detection, by pasting or submitting text or a file, and clicking 'get results' for GPTZero to compare the text to various online sources.
What does the plagiarism detection feature show in its results?
-The plagiarism detection feature shows the percentage of the document that was found to be plagiarized, highlights identical and similar text, and provides links to the online sources where matches were found.
How does GPTZero differentiate between human and AI-generated text?
-GPTZero uses statistical measures and sentence analysis to determine the likelihood of AI involvement, highlighting sentences with potential AI authorship.
What support options are available if you encounter issues with GPTZero?
-If you encounter issues, you can access the FAQ, Support Center, or contact the support team for assistance, as indicated by the question mark at the top right corner of the dashboard.
Outlines
π GPT0 Dashboard Introduction and Text Analysis
Luke, a software engineer, introduces the GPT0 dashboard, explaining the process of signing in and navigating the interface. He outlines the three main features for scanning text: tech scanned, single file upload, and batch file upload. Supported file types include PDFs, Word documents, and plain text files. The text scan feature is demonstrated by pasting a sample text, which GPT0 analyzes to determine AI involvement. The results include insights, statistics like perplexity and burstiness, and a sentence-by-sentence overview highlighting AI-written sentences in yellow. Luke also shows how to upload a plain text file for analysis and discusses the batch file upload feature, which allows for scanning multiple files at once.
π Batch Analysis and Plagiarism Detection Features
The walkthrough continues with a demonstration of the batch file upload feature, where multiple files can be selected and scanned simultaneously. After scanning, results are listed with the probability of AI involvement, and detailed reports can be accessed by clicking on the results button. The dashboard also includes a plagiarism detection feature, available on educator and pro plans, which scans the internet and compares the text to various sources such as research papers, academic journals, and web content. The plagiarism detection process is shown, revealing that the sample text was entirely found online, matching 10 online sources. The original text is highlighted, and similarities are shown in a sentence-by-sentence view, with matches linked to their online sources.
π Conclusion and Support Information
The video script concludes with a summary of the gpt0 dashboard's features and a reminder of the support options available for users. The narrator guides viewers on how to access the FAQ, Support Center, or contact the support team for any issues or further questions. The conclusion emphasizes the comprehensive nature of the dashboard and the ease of seeking assistance if needed.
Mindmap
Keywords
π‘GPTZero
π‘Dashboard
π‘Text Scan
π‘Single File Upload
π‘Batch File Upload
π‘Perplexity
π‘Burstiness
π‘Plagiarism Detection
π‘AI Probability
π‘Support Center
Highlights
Introduction to GPTZero by Luke, a software engineer.
Step-by-step walkthrough of the GPTZero dashboard.
Explanation of the main dashboard interface upon signing in.
Description of the text scan feature for AI detection.
Demonstration of how to enter and analyze text with GPTZero.
Process of initiating text analysis with the 'get results' button.
Display of results including insights and statistics.
Example of analyzing a mixture of human and AI text.
Sentence by sentence overview with AI involvement highlighted.
Explanation of statistics such as perplexity and burstiness.
Demonstration of the single file upload feature.
Process of uploading a plain text file for analysis.
Results comparison between text scan and single file upload.
Introduction to the batch file upload feature.
Guide on how to select and upload multiple files for batch analysis.
Scanned files list showing results and AI probability.
In-depth report access for each scanned file.
Detection of plagiarism with GPTZero as a premium feature.
Comparison of plagiarism scan to AI detection word count.
Demonstration of plagiarism detection with sample text.
Results showing the percentage of document plagiarized.
Sentence by sentence view of similarity to online content.
Conclusion of the GPTZero dashboard walkthrough.
Instructions for seeking assistance with issues or questions.