Hello everyone! Today, I wanted to share a fun comparison between two AI models: GPT 3.5 and GPT 4. As you may know, GPT 4 is the latest version and has been making waves in the AI community. In this comparison, I’m going to test the ability of these two models to generate content that can pass AI detection tools. So, let’s dive in and see if there’s a clear winner in this AI showdown!
Frequently Asked Questions (FAQ) for GPT-4
1. What is GPT-4?
GPT-4 is the latest language model developed by OpenAI. It’s an advanced AI model designed to read and generate human-like text, providing more accurate and comprehensive responses to complex questions. GPT-4 builds on the success of its predecessors, such as GPT-3.5, and introduces several powerful new features that enhance its capabilities.
2. What is the token limit of GPT-4, and how does it affect content generation?
The token limit of GPT-4 is 25,000 words, which is a significant increase compared to previous models like GPT-3.5. This larger token limit allows GPT-4 to read and generate more extensive pieces of content in a single instance. As a result, users can work with larger chunks of text, enabling more effective long-form content creation, such as blog posts, articles, ebooks, and fictional stories. The increased token limit ensures a consistent tone and flow throughout the generated content, making GPT-4 a valuable resource for content creators and writers who require extended text outputs.
3. How is GPT-4 different from GPT-3.5?
GPT-4 offers significant improvements over GPT-3.5, including:
- Greater accuracy in complex problem-solving
- Larger token limit for reading and generating content
- Improved code-writing capabilities in major languages
- Advanced math problem-solving abilities
- Upcoming feature to understand images as inputs
These enhancements make GPT-4 a more versatile and powerful tool for various applications, such as content creation, programming, and mathematical problem-solving.
4. Can GPT-4 generate long-form content?
Yes, GPT-4 can generate long-form content, such as blog posts, articles, ebooks, and fictional stories. Thanks to its increased token limit (up to 25,000 words), GPT-4 is capable of handling larger chunks of text and can produce extended pieces of content with consistent tone and flow.
5. Can GPT-4 write code in different programming languages?
GPT-4 has improved code-writing capabilities compared to its predecessors. It can understand and generate code in various major programming languages, including Python, JavaScript, Java, C++, Ruby, and more. GPT-4’s advanced code-writing skills make it a valuable resource for developers looking to create more efficient and effective software solutions.
6. What is the upcoming feature to understand images as inputs?
GPT-4’s upcoming feature of understanding images as inputs means it will be able to process images for context and description. Users will be able to upload images directly or provide a brief description, and GPT-4 will generate detailed and accurate explanations of the scene. This feature is still in development and is expected to become more sophisticated as GPT-4 evolves.
7. What are the drawbacks of GPT-4?
While GPT-4 offers significant improvements over its predecessors, it currently has some drawbacks, such as slower processing times. However, it’s important to recognize that GPT-4 is an evolving technology with the potential for further enhancements in the future.
8. How can I access GPT-4?
To access GPT-4, you can sign up for a ChatGPT Plus account. Priced at $20 per month, ChatGPT Plus grants you access to this powerful AI, allowing you to experience the full range of benefits it has to offer.
9. Can GPT-4 be used for educational purposes?
Yes, GPT-4’s advanced math problem-solving abilities and its proficiency in handling complex questions make it a valuable tool for educational purposes. It can assist students and educators in various fields, including math, science, programming, and more.
10. Is GPT-4 suitable for content creators and marketers?
Absolutely! GPT-4’s ability to generate high-quality, long-form content, and its understanding of complex subject matters make it an indispensable resource for content creators, writers, and marketers alike. It can produce engaging content with minimal input, saving time and effort while ensuring consistent tone and flow.
Introduction
Before we start, let me give you a brief overview of GPT 3.5 and GPT 4. These are advanced AI models designed to generate high-quality content based on the input provided. Naturally, GPT 4 is expected to be a more refined and capable version of its predecessor, GPT 3.5. The aim of this comparison is to see how well each model can generate content that is not easily detectable by AI detection tools.
First Test: Writing a Funny LinkedIn Post
For the first test, I asked both AIs to write a funny LinkedIn post about why AI will not take our jobs. Here’s what I got from GPT 3.5:
Hey LinkedIn fam! Worried that AI will take your job? Fear not, my friends, because I have a secret weapon to keep your career safe: my terrible sense of humor. π
It’s a decent output with a touch of humor. Now, let’s see what GPT 4 came up with:
Hey there, LinkedIn family! π Are you concerned that AI will snatch away your job? Worry no more! We’ve got the ultimate weapon to safeguard your career: our hilariously awful sense of humor! π With jokes so bad, no AI will ever want to take over our jobs! π€
As you can see, the content generated by GPT 4 is more in-depth, engaging, and well-formatted with emojis. It seems to understand the context better and addresses the audience in a more human-like manner. However, the main focus of this comparison is to test their AI detection capabilities. So, I pasted the outputs from both models into an AI detection tool. Surprisingly, both GPT 3.5 and GPT 4 scored 100% original in the test!
Second Test: Comparing Longer Pieces of Content
For the next test, I wanted to see how well each AI model could generate a longer piece of content. Specifically, I asked them to create an introduction to an article. GPT 3.5 was faster at generating the content, but the quality wasn’t as impressive as GPT 4. Here’s what GPT 3.5 produced:
In this fascinating article, we will explore the ever-evolving world of artificial intelligence and how it continues to shape our lives. While many fear the potential job loss that AI may cause, there are several reasons to remain optimistic about the future.
Now, let’s take a look at GPT 4’s output:
Welcome to an enthralling journey through the realm of artificial intelligence! As AI continues to revolutionize our world, it’s natural to feel concerned about its impact on our careers. However, in this article, we will unveil the many reasons why we should embrace AI with open arms and remain hopeful for a brighter future where humans and machines work hand in hand. π€
GPT 4’s introduction is more engaging and well-crafted. To test their AI detection capabilities, I once again pasted the outputs into the AI detection tool. This time, GPT 3.5 scored 0% original and was 100% detected by AI, while GPT 4’s output was 100% original and 0% detected by AI. It’s quite impressive how GPT 4 managed to produce high-quality content that can pass AI detection tests!
Third Test: Analyzing Blog Post Intros
For the final test, I asked both AIs to generate an intro for a blog post. GPT 3.5 came up with a decent paragraph, but it wasn’t as impressive as the one generated by GPT 4. Here’s GPT 3.5’s output:
In today’s blog post, we dive into the complex world of artificial intelligence and its implications on the job market. While some may worry about the potential displacement of human workers, there is still a reason for optimism as we look at the bigger picture.
And here’s what GPT 4 produced:
Welcome to our insightful blog post, where we unravel the intricacies of artificial intelligence and its impact on the job market! π While it’s natural to feel apprehensive about AI’s potential to replace human workers, we will uncover the silver lining that lies beneath these fears and reveal a future filled with promising opportunities. π
Once again, I tested the AI detection capabilities of both outputs. GPT 3.5 scored 21% original and 79% AI detected, while GPT 4’s output was 100% original and 0% AI detected. It’s evident that GPT 4 consistently outperforms GPT 3.5 in AI detection tests.
Key Differences Between GPT 3.5 and GPT 4
From these tests, it’s clear that GPT 4 has some significant advantages over GPT 3.5:
- GPT 4’s advanced understanding of context
- GPT 4’s ability to generate high-quality content without extensive prompt engineering
- GPT 4 consistently outperforms GPT 3.5 in AI detection tests
Conclusion
In this fun comparison, GPT 4 has proven to be a more capable AI model, generating high-quality content that can pass AI detection tests with flying colors. Its impressive performance in understanding context and producing engaging content without the need for extensive prompts makes it a clear winner over GPT 3.5.
I encourage you to try generating content with GPT 4 and testing it for yourself. Share your experiences and results with us! If you have any questions or suggestions, feel free to leave a comment below. I hope you enjoyed this quick comparison between GPT 3.5 and GPT 4, and stay tuned for more exciting AI content!
