Yes, Instandex AI Content passes all known AI detection tools! It is not surprising that we are the only AI content writer that actually writes undetectable AI content! Instandex AI content is as good as human content, and rightly so! Unfortunately , this is not the case when you generate content with all other GPT-3 tools out there, including Article Forge, Copymatic, Copy.ai, Jasper, ChatGPT, just but to mention a few!

At present, the internet appears to have a variety of perspectives on generative/creative AI. ChatGPT, an artificial intelligence (AI) chat and text-creation program that is currently free of charge, has created a stir on the internet as did Midjourney’s AI image generator prior.

What are Large Language Models(LLM)?

In recent years, the field of natural language processing has seen a dramatic improvement in the development of large language models. With sophisticated algorithms, these models can process and understand vast amounts of data at once, allowing computers to comprehend spoken and written language much like humans do.

Large language models are essentially artificial intelligence (AI) systems that have been trained on massive datasets containing text or audio information. By continually learning from these datasets, they become increasingly accurate at understanding larger and more complex pieces of language over time. This allows them to comprehend longer sentences with greater accuracy than traditional machine-learning models.

One example of a large language model is Google’s BERT (Bidirectional Encoder Representations from Transformers). BERT was specifically designed for natural language processing tasks such as sentiment analysis and question answering, using transformer architecture that processes both words in left-to-right order and right-to-left order simultaneously. Thanks to its enormous size (it contains 340 million parameters), it is able to quickly identify subtle nuances in context that other AI systems struggle with — an important advancement in justifying why machines should be used for more complex tasks such as customer service interactions or medical diagnosis.

Another example is GPT-3 (Generative Pre-trained Transformer 3), created by OpenAI — one of largest and most powerful open source AI companies out there today — which unlike BERT was not designed for specific NLP tasks but rather general purpose machine learning applications such as text generation, translation machine vision problems etc… Its 175 billion parameters make it so powerful that it has already made headlines for its ability to generate convincing articles when given only a few input sentences! In addition, GPT-3 also promises improved performance on existing NLP tasks such as summarization, classification and question answering without needing additional training data sets or manual coding efforts.

Overall, large language models have taken great strides towards bringing us closer to machines being able to fully understand human communication like humans do; while their current applications are mostly limited by their costliness due their computing power requirements; advancements such as GPT-3 show potential promise in the near future where we could see them included into many areas currently dominated by human labor – notably customer service conversations where they could provide instant feedback based on learned patterns – opening up possibilities never before thought possible!

Let’s Generate content with Instandex AI

The need generate human level content cannot be overemphasized! You have need to avoid Google and other search engine penalties and to always ensure you submit AI zero plagiarized essays, because schools are also clamping down on the same!

Let’s first generate some output in Instandex AI Content Writer and test it against 10 known AI detection tools, online.

We use the following prompt to generate the content:

” How to write a research paper in 3 steps. Please expound on each step”

Below is the output from Instandex:

Here is the text output which you can use to test on your own:

Step 1: Choose a Topic and do Research:
The first step in writing a research paper is to decide on the topic. This will depend on the course you are taking, as well as your personal interests. Once you’ve chosen a topic, it’s important to begin researching it thoroughly. Make sure that you find reliable sources of information about the topic, such as journal articles or authoritative websites. You should also take notes while doing your research so that when you begin writing your paper, you can easily refer back to them if needed.

Step 2: Outline Your Paper and Develop an Argument:
Once you have gathered all the information necessary for your paper, it is time to start structuring it in an outline form. This will help ensure that every aspect of your argument is addressed in the paper itself and give structure to each idea or section. Additionally, this process helps develop an argument by providing evidence for why certain points should be made related to the research topic at hand.

Step 3: Write Your Paper and Edit It Carefully :
Finally, after creating an outline with all of your research findings and arguments written down clearly, it is time to begin actually writing the paper itself! Start off by drafting out all of the ideas presented in your outline into paragraphs – make sure not just to present facts but explain their significance within your overall argument/research question/hypothesis. After finishing up a draft version of the paper (including citations), carefully read through everything again and edit any mistakes or areas which may need further clarification – then submit!

Now lets us run the out through 10 known AI detection tools:

1. Hugging Face AI Detection ( https://openai-openai-detector.hf.space/)

Here is the result from Hugging Face:

The results shows an impressive 99.97% real human writing!

2. OpenAI Text Classifier (https://platform.openai.com/ai-text-classifier)

The AI Text Classifier is a GPT model that has been tailored to accurately predict the likelihood of text being generated by an AI. This tool is designed to help spur conversations surrounding AI literacy. To learn more about ChatGPT’s abilities, its boundaries, and how it can be used in educational contexts, please explore further resources.

Now let’s run the text through their OpenAI Text Classifier:

The result: The classifier considers the text to be unlikely AI-generated.

3. Sapling AI Content Detector

According to Sapling:
Automatically detect AI-generated text. This utility outputs the probability that a piece of content was AI-generated by a model such as GPT-3 or ChatGPT.

Here is our test:

Real Probability is a whopping 1.000!

4.  GPTRadar

According to GPTRaday, they leverage OpenAI GPT-3 to perform intricate computations on any given text, thus allowing us to determine if it was crafted by a computer or an individual. Through this process, they are able to analyze the content and gain insight into its author.

Here is the test results:

Result: Likely Human Generated!

5. Corrector App – AI Content Detector

Corrector App GPT Text Detector is a convenient and powerful way to detect any false text generated by ChatGPT. It has been specially crafted to swiftly recognize if the content is partially or completely created by a GPT-3 algorithm. This tool can identify whether there are any fabricated pieces of text in a document, thus allowing you to verify its integrity and accuracy quickly. All you need to do is paste the text into the detector, which will then conduct its analysis automatically.

Rest assured that your texts have undergone thorough screening for quality and authenticity before sending them out with this free tool – it can also detect fraudulent material inside documents so you don’t have to worry about publishing them online or elsewhere. The GPT Text Detector takes all these responsibilities off your shoulders, giving you peace of mind in knowing that your documents are trustworthy and secure!

Here is the results of our content:

Corrector App AI content detector result: Fake 0.03%, which means, 99.97% real!

6. Giant Language model Test Room( GLTR)

GLTR text analysis technique assesses how probable each word is to be the predicted word given the context on its left. If the actual word used falls into the Top 10 most probable words, the background will be highlighted in green; for words in Top 100, it will be yellow; and for Top 1000, red. Anything else will be colored violet. Try out some sample texts or your own to observe if you can distinguish between machine-generated and human-generated text! (Hint: Hover over the words for more information.)

Additionally, histograms are provided that provide statistics about each text – Frac(p) tells us what fraction of probability was assigned to the actual word compared with that of the maximum probability at this position while Top 10 entropy measures entropy along the top 10 results per word.

Here are the results:

Over 90% of the text is marked green, it is human!

7. HuggingFace JayDott14 OpenAI Dectector

The results shows 100% human/real content as shown below:

8. CopyLeaks AI Content Detector

Thanks to the development of systems like ChatGPT, Artificial Intelligence (AI) can now generate a variety of content including essays, news articles, books and much more. That’s why they designed an AI Content Detector – the only solution tailored for businesses that has an accuracy rate of 99.12% in identifying text written by humans or generated by AI programs such as ChatGPT across several languages: English, French, Spanish, German and Portuguese. As advances in AI-generated text technology move forward at an accelerated pace, they claim to have already established a strong lead with in their product.

Here is the results our output from Instandex AI as analyzed by CopyLeaks AI Content Detector: This is human text

9. Content At Scale AI Content Detection

According to Content At Scale, their sophisticated software combines 3 AI engines, Natural Language Processing (NLP) and semantic analysis algorithms to search through top-ranking content on Google and compile them together.

Here is the result of our Instandex AI text output , from Contente at Scale: 100% Human content

10. Writer.com AI Content Detector

Before publishing your content, use this detector to evaluate if it reads like it was entirely produced by AI as certain search engines may penalize your page ranking if they detect such content. Decide whether you want to make any necessary adjustments before publishing.

The result from Writer.com AI Content Detector is a resounding: 100% HUMAN-GENERATED CONTENT as shown below:

There is probably no better way to end our analysis! You have seen it for yourself, that indeed we pass all AI Detection tools. Instandex AI writing is as good as human.

You can signup for Instandex AI free trial account by selecting your package now, and test for free before deciding to buy!