使用语言模型(Language Model Usage):现代语言模型,如基于Transformer的模型,使用复杂的神经网络架构来预测序列中下一个标记的概率。这些模型通常在大量文本数据上进行训练,以学习语言的统计特性。 DetectGPT方法通过比较原始样本和使用通用预训练模型(如T5)进行小扰动后的样本在源模型下的对数概率来检测文本。如果扰动后的...
Usage Here v1.1 refers to DetectGPT, v1.0 is GPTZero Using Python function python3 infer.py example from model import GPT2PPL model = GPT2PPL() sentence = "your text here" model(sentence, "number of words per chunk", "v1.1") Using Python input python3 local_infer.py example Please...
This AI-based text detection tool is highly effective at detecting plagiarism and identifying instances of copied content. However, during my usage, I did encounter some errors on the website. Fortunately, these issues were infrequent and did not significantly impact my experience. It’s important ...
This article compiles telltale signs of ChatGPT usage and debates its ethical implications in professional settings. These are the best ways to detect ChatGPT text in candidates for developer roles: It’s official: Tools for detecting AI text don’t work any more (and might never have) AI ...
GPTZerois a web app and service designed to detect whether a body of text has beenwritten by a human or by an artificial intelligence. Currently the system can ostensibly detect the outputs from a variety of large language models including ChatGPT, GPT-4, and Claude, as well as if it wa...
Example Usage JavaScript (Node.js) constaxios=require('axios');constoptions={method:'POST',url:'https://zerogpt.p.rapidapi.com/api/v1/detectText',headers:{'content-type':'application/json','X-RapidAPI-Key':'your-api-key-here','X-RapidAPI-Host':'zerogpt.p.rapidapi.com'},data:{in...
Usage. We assume that GPTSniffer is useful due to various reasons. First, code produced by generative models might contain vulnerability (EuroPol, 2023, Pearce et al., 2021), as well as other issues, including copyright and licensing infringements (Reda, 2023, StephanieGlen, 2023). Second, ...
UsageConducting the Empirical StudyNote: You can skip the empirical study if you are only interested in detecting machine-generated code with DetectCodeGPT.After data preparation, you can proceed to the empirical analysis:Navigate to the code-analysis directory. Analyze code length: python analyze_...
25 + max_memory_usage=None, 24 26 autogen_use_planning_prompt=None, 25 27 autogen_stop_docker_executor=None, 26 28 autogen_run_code_in_docker=None, @@ -66,6 +68,11 @@ def run_autogen_2agent(query=None, 66 68 autogen_code_restrictions_level = 2 67 69 if autogen_silent_...
26 Jan 2023·Eric Mitchell,Yoonho Lee,Alexander Khazatsky,Christopher D. Manning,Chelsea Finn· The increasing fluency and widespread usage of large language models (LLMs) highlight the desirability of corresponding tools aiding detection of LLM-generated text. In this paper, we identify a property...