AI 모델 배틀: 비용 및 품질 비교

### AI 모델 배틀: GPT-3.0, 라마 3.1, 클로드 세텟 3.5, GPT-4.0 비교하기
* 💰 텍스트 생성 비용은 모델마다 달랐는데, **GPT-3.0은 글당 평균 1페니, 라마 3.1은 4페니, 클로드 세텟 3.5는 6페니, GPT-4.0은 7페니**였습니다.
* 🧠 각 전투는 공정성을 보장하기 위해 **동일한 개요와 설정**을 사용했으며, 작성 과정에서 AI 모델만 변경했습니다.
* 🏫 "나쁜 성적으로 대학에 입학하는 비결" 경쟁에서 Llama 3.1 모델은 잘 쓰여진 소개로 눈에 띄었습니다: **"다른 강점을 활용하면 나쁜 성적으로도 대학에 입학할 수 있습니다."**
* ❓ 제작자는 **4,500억 개의 파라미터**를 가진 라마 모델의 품질에 놀라움을 표하며, **"사람처럼" 글을 작성**하고 기사당 **4페니의 비용**으로 인상적인 결과를 제공한다고 언급했습니다.
* 💬 클로드 세셋 3.5는 지침을 더 잘 따르지만, 제작자는 **특정 프롬프트가 없는 일반적인 용도의 라마 3.1 모델에 비해 그 가치에 의문**을 제기했습니다.
* 💻 이 크리에이터는 유명 SEO 전문가를 포함해 **13,000명 이상의 회원**을 보유한 Facebook 그룹에서 **Windows 기반 AI 글쓰기 도구인 ZimWriter**를 추천하고 그 인기를 강조했습니다.
* 🔗 AI 모델 배틀 결과는 **크리에이터의 웹사이트인 aiblogpostwriter.com**에서 확인할 수 있으며, 사용자는 **다른 모델이 생성한 글을 보고 비교**할 수 있습니다.

라마 3.1 AI 모델은 블로그 게시물 작성 경쟁에서 비용과 품질 면에서 다른 모델보다 우수한 성능을 보였습니다.

I just finished a giant battle using different AI models to write blog posts. I battled the 405 billion parameter Llama 3.1 model made by Meta against Anthropic's Claude Setet 3.5 model, and then OpenAI's GPT-40 Mini and GPT-40 models. Now the results really surprised me, both from a cost perspective and quality perspective. Let me show you the results. You can see the results for yourself if you go to this website: aiblogpostwriter.com. I made this site to demonstrate different articles using different settings written by RERS. Everything I'm going to show you is completely unedited. I didn't edit any of this stuff. You can check out the battle by clicking on this first link: AI Model Battle, and it will take you to this page. Now, there's some settings I used for each of these battles, and my main goal was to ensure fairness. So for each of the battles, I used an identical outline, like an outline for a particular article that I was writing, and also identical

settings, so I wanted to keep it really fair and just vary the actual writing model. And I also have the costs on average for each of these. This is just the textual portion of the cost. The image cost and the SER scraping costs are separate, but these are the actual writing costs. So, for the GPT-3.0, the results averaged one penny an article. Llama 3.0 averaged four pennies. Clauddin-3.5 averaged 6. And GPT-4.0 averaged 7. Now, one thing to keep in mind is just because something's more expensive doesn't necessarily make it better. As time goes on and the models get more and more powerful and new models come out, the older models will still remain expensive, but the newer models will be cheaper and better. That's just how it works in the world of AI. So, let's check out one of these battles. So, you'll come down here, you click on one of these. Again, these are battles with all four models. So, we'll click on Tricks to Get into College with Bad Grades.

we'll open up the battle, and you'll see four identical articles. Now, the AI image is a little bit different for each one, but other than that, they're completely identical articles, except for the content of each subheading. For example, if I click this GPT-3.5 article that cost me a penny, and I click this llama 3.1 405, they have identical sections. So, the first H2 is Improve Your College Admissions Chances. Improve Your College Admission Chances Focus on Academic Growth Trends. So, to ensure fairness, I kept the test identical, but I let the AI write its own section for each subheading. So, this article over here is written by GPT-3.5. All right, and the text portion of this article cost one penny on average. I was really surprised by the results. If you pause the video and you can read the introduction, and then you can read the different sections. I was really impressed with this to improve your college admission chances despite bad grades, focus on boosting your standardized test scores and securing

strong letters of recommendation. It just reads very well, and I like Claude setet over here. I like that, but I don't know. I'm weighing in my mind, is it worth paying the extra money to use claudet? Now, I have found that claudet will follow more instructions better. Like the claudet article is also really well written. It will follow more instructions better, but if you're not using a style mimic, or you're not using a custom prompt with a lot of different rules and stuff like that, I don't know if claudet is really worth the money. Now, what I have noticed is this llama 405 billion parameter model is incredible. It writes like a human. I'm just blown away by it, and this is not even the most expensive model. It's cheaper than Claude CET. It's cheaper than GPT 40, alright. It's not as cheap as GPT 40 mini, but at 4 pennies for this article, that's a great deal. Check this intro out. I was just blown

away by it. You can still get into college with bad grades by leveraging other strengths. Focus on achieving high standardized test scores like a 1240 SAT or 25 ACT to show you're capable of college work. Build relationships with teachers and counselors to get compelling letters of recommendation that contextualize your grades. Craft a personal essay that showcases your character, resilience, and unique experiences. Highlighting academic growth trends like a GPA improvement from 2.0 to 3.5 can also boost your chances. As you explore these strategies further, you'll discover how to turn weaknesses into strengths and create a winning college application that's phenomenal. Now, these intros that I wrote are using the search intent intro option because a lot of people will just skim over the article, and we're bolding those not SEO keywords but bolding the readability words, the words that will help them skim better. Okay, it turned this search intent intro into something that just sounds amazing. I am absolutely blown away by the Llama 45 billion perimeter model. The rest of it reads like a human.

colleges tend to view an upward trend and grad more favorably than a static record. This is great. I was just blown away by this. We can look at a couple more of the battles. Again, you can come to this page and check all the stuff out for yourself. Let's see secrets to get a second date. The results from each of these models, they're all very impressive models. I would have no problem having any of them on my website. You increase your chances of landing a second date when you create a genuine connection with your partner. To do this, be your authentic self, embracing your true nature, and avoiding pretenses. It's great. So that's it. Again, you can go to this page. You can go to my AI blogpost reader.com. You can click on AI battle and then view the different battles, view the different settings. You can replicate this if you want to. There's a link to get Zim riter right up here. If you want to check out Zim writer and get it, it's honestly the best writer in the world.

that runs on a Windows computer. There's a Facebook group with over 13,000 members in it. Very high-profile SEO people in there. There are some people in that group making uh six figures a month from their different AI sites. Definitely check it out. Any questions, drop a comment down below. If you like the video, drop a comment, subscribe, all that good stuff. Hey, until next time, good luck with your content generation, and I'll talk to you later.

Blog Post Battle: LLaMA 405b vs. GPT-4o Mini vs. Claude Sonnet 3.5

Ranking Tactics

AI 작성 모델의 비용 및 품질 비교

이 대결에서는 AI 글쓰기 모델의 비용과 품질을 비교했으며, GPT-3.

0은 평균 7페니의 비용이 들었습니다.

그 결과, 최신 모델은 시간이 지날수록 더 저렴하고 더 나은 경향이 있기 때문에 비용이 높다고 해서 반드시 품질이 더 좋은 것은 아니라는 사실이 밝혀졌습니다.

이 대결의 목표는 각 모델에 대해 동일한 개요와 설정을 사용하여 공정성을 입증하는 것이었습니다.

AI가 생성한 기사는 각 소제목의 내용만 다를 뿐 거의 동일합니다.

5 기사가 가장 저렴한 반면, Llama 3.

1 405억 개 매개변수 모델은 비용 효율적이고 인상적으로 인간과 비슷합니다.

더 저렴한 모델도 똑같이 인상적인 결과를 산출하기 때문에 추가 비용 측면에서 클라우뎃의 사용은 의문입니다.

나쁜 성적으로 대학에 입학하기 위한 전략

대학 입학을 위해 높은 표준화 시험 점수, 선생님과의 돈독한 관계 등의 강점을 활용하세요.

인성과 회복탄력성을 보여주는 매력적인 개인 에세이를 작성하고 지원서에서 학업 성장 추세를 강조하세요.

이러한 전략은 약점을 강점으로 바꾸고 대학 입학 가능성을 높이는 데 도움이 될 수 있습니다.

AI가 콘텐츠 생성에 미치는 영향

13,000명 이상의 유명 SEO 회원을 보유한 Facebook 그룹에서는 AI 사이트를 통해 한 달에 6천만 원의 수익을 올리는 개인을 소개하고 있습니다.

이 그룹은 Windows 컴퓨터에서 AI 기반 콘텐츠 생성에 관심이 있는 사람들에게 유용한 리소스를 제공합니다.

AI가 온라인 콘텐츠에 미치는 중대한 영향은 회원들의 성공을 통해 입증되었습니다.