Unveiling GPT 4: Shocking Quality Comparison with GPT 3.5 16K

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Unveiling GPT 4: Shocking Quality Comparison with GPT 3.5 16K

Table of Contents

  1. Introduction
  2. Comparison of GPD 3.5 Turbo 16k and GPD4
  3. Outline Generation
  4. Development of the Full Article
  5. Output Quality Comparison
  6. Final Thoughts

Introduction

Comparison of GPD 3.5 Turbo 16k and GPD4

Outline Generation

Development of the Full Article

Output Quality Comparison

Final Thoughts

Article

Introduction

Hey guys and girls! In today's video, I'll be doing a comparison of the output quality between GPD 3.5 Turbo 16k and GPD4. I'll be giving the same inputs to both models in the playground mode to generate a full article. We will then compare the output quality of GPD4 against GPD 3.5 Turbo 16k. So let's dive right in!

Comparison of GPD 3.5 Turbo 16k and GPD4

I've already primed the AI with the prompt to write an informative and in-depth blog post outline on the topic of "How to Network and Land Your Dream Job." The goal is to target job seekers and professionals looking for a career shift. Now, let's compare the two models and see how they perform.

Outline Generation

Both models, GPD 3.5 Turbo 16k and GPD4, have been set up with the same settings, including temperature and frequency penalty. We'll run both models and examine the generated outlines. The GPD 3.5 Turbo 16k outline seems to be generated quicker, while the GPD4 outline takes a little more time. OpenAI claims that GPD 3.5 Turbo 16k's steerable nature allows it to provide more nuanced and detailed outputs.

The outline generated by GPD 3.5 Turbo 16k includes topics such as the importance of networking, building your personal brand, researching your target industry, effective networking strategies, leveraging social media, exploring online network communities, offline networking, and more. It's a detailed and Relevant outline that covers various aspects of networking.

On the other HAND, the outline from GPD4 seems a bit underwhelming compared to GPD 3.5 Turbo 16k. It covers the basics of networking, identifying your dream job, building your professional brand, networking strategies, networking in everyday life, making connections, leveraging networks to land your dream job, and overcoming network challenges. While it's a decent outline, it lacks the level of Detail we got from GPD 3.5 Turbo 16k.

Development of the Full Article

Now that we have our outlines, it's time to write the full article. I'll be using the outline generated by GPD 3.5 Turbo 16k to Create a comprehensive and informative piece. The article will be written in Markdown format, ensuring easy readability and inclusion of lists and tables.

The article generated by GPD 3.5 Turbo 16k is about 1200 words long, covering topics such as understanding networking, the importance of networking for job seekers, preparing for networking, researching your target industry, effective communication skills for networking success, nurturing relationships, maintaining connections, and leveraging networking for job opportunities. It's well-formatted, with lists and tables that enhance readability.

Output Quality Comparison

Now, let's compare the article generated by GPD 3.5 Turbo 16k with the one from GPD4. The article from GPD4 is shorter (about 1300 words) and covers similar topics to GPD 3.5 Turbo 16k's article, but with less detail. It includes an introduction, basics of networking, creating a strong professional network online, offline networking, and network etiquette. While the article is decently formatted and easy to Read, it doesn't match the level of detail provided by GPD 3.5 Turbo 16k.

Generally, GPD4 is known for producing better outputs, but in this comparison, GPD 3.5 Turbo 16k surprised us with its detailed and high-quality output. It seems that OpenAI has improved the steerability of GPD 3.5 Turbo 16k, making it a reliable choice for generating in-depth content.

Final Thoughts

In conclusion, the comparison between GPD 3.5 Turbo 16k and GPD4 revealed that GPD 3.5 Turbo 16k outperformed GPD4 in terms of output quality for the topic of networking and landing a dream job. The generated article from GPD 3.5 Turbo 16k was comprehensive, detailed, and highly relevant. Although GPD4's article was decent, it lacked the level of detail provided by GPD 3.5 Turbo 16k. Overall, the improved GPD 3.5 Turbo 16k model proved to be a reliable choice for generating high-quality content.

Thank You for watching, and let me know in the comments which model you preferred: GPD 3.5 Turbo 16k or GPD4. If you're interested, check out the link in the video description to get a free article written by our team. Don't forget to like this video and subscribe to our Channel for more informative content. Until next time, stay well!

Highlights

  • Comparison between GPD 3.5 Turbo 16k and GPD4 for generating a full article
  • GPD 3.5 Turbo 16k provides a detailed and relevant outline on the topic of networking and landing a dream job
  • GPD 4 delivers a decent outline, but lacks the level of detail provided by GPD 3.5 Turbo 16k
  • GPD 3.5 Turbo 16k generates a comprehensive and informative article with lists and tables
  • GPD 3.5 Turbo 16k outperforms GPD4 in terms of output quality and relevance for the given topic
  • GPD 3.5 Turbo 16k proves to be a reliable choice for generating high-quality content

FAQ

Q: Which model, GPD 3.5 Turbo 16k or GPD4, provided a more detailed outline? A: GPD 3.5 Turbo 16k generated a more detailed outline compared to GPD4.

Q: How long were the articles generated by GPD 3.5 Turbo 16k and GPD4? A: The article generated by GPD 3.5 Turbo 16k was about 1200 words long, while the article from GPD4 was around 1300 words.

Q: Was there any plagiarism detected in the articles? A: Both articles had low plagiarism scores, indicating high originality. The article generated by GPD 3.5 Turbo 16k was 4% plagiarized, while the article from GPD4 was 3% plagiarized.

Q: Which model, GPD 3.5 Turbo 16k or GPD4, had better readability scores? A: GPD 3.5 Turbo 16k had a readability score of 31, while GPD4 had a lower score of 22.8, indicating that it was more difficult to read.

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