Build your own GPTZero and Turnitin like App: AI Plagiarism Detector Tool

[@sneharoy3566]

Wow. Thanks for covering this topic 👏

[@Armagedonnable]

When I insert some AI generated text input, perplexity returns infinity. Because of this issue, if else condition failing. Do you know best solution to handle this issue? Thank you

[@AIAnytime]

Can you create a GitHub issue? I will try to reproduce.

[@niharikasingh9963]

can you please help me out after running it it is showing this error AttributeError: module 'torch.nn' has no attribute 'cross_entropy'

[@adityarajpateriya3870]

I tried this model and there are very few instances where it said , "text is generated by AI",most of the text are classified as human-generated, so can you suggest me some enhancements, or can i adjust values of perplexity and bustiness to get the desired result ? i need to submit it as college project

[@AIAnytime]

Hi Aditya, Your observation is right! Can you check the threshold value and see if there is any improvement?

[@Itsme-zb3zr]

Hi, How you have finalised this perplexity and business limit In which value this will give the best result? I'm getting "text not generated by AI" for all AI generated texts. What adjustment needs to be done to fix this

[@Armagedonnable]

Did you figure out issue? I face same problem@@Itsme-zb3zr

[@Armagedonnable]

Same here@@Itsme-zb3zr

[@priyalpavanipriyal5613]

​@@Itsme-zb3zr I'm facing the same issue ig the more the model improves more the threshold values keep varying so idk If u can solve this issue let me know

[@SD_Web_Wizrads]

Good website and good work sir

[@AIAnytime]

Thank you, Suhas!

[@SwatiSingh-b4r]

Can you make a video on plagiarism checker application using python too..

[@minatouzumaki4468]

bro i am always getting : [nltk_data] Error loading punckt: Package 'punckt' not found in index [nltk_data] Downloading package stopwords to [nltk_data] C:\ProgramData\anaconda3\lib ltk_data... [nltk_data] Package stopwords is already up-to-date! Downloading model.safetensors: 0%|

[@Brian-nh8qk]

can you like do for gpt 4 please

[@anirudhcodes]

Awesome 👌

[@hammadhussain4957]

please give complete code of this, your github repo has different code and doesnt work

[@bec_Divyansh]

Why this difference between burstiness and perplexity? why is perplexity dependent on model type but not burstiness?

[@AIAnytime]

Hi Divyansh. Burstiness refers to the uneven distribution of word occurrences in the corpus. Perplexity not only depends on model types but also prediction tasks. Burstiness can affect language modeling in many ways like data preprocessing, vocabulary size, contextual dependencies, unseen data perform, etc etc. Perplexity is more concerned with evaluating the model's predictive accuracy at the local level. Burstiness on other hand, encompasses broader statistical patterns in the word distribution. It can impact overall characteristics and is difficult to calculate.

[@minatouzumaki4468]

can you provide the src code please