Open AI gained popularity when it launched the chatGPT model in 2022 and earned the title of the world’s fastest growing app to reach more than a hundred million active users within a short period of time (Two months). ChatGPT has inspired competition Among the world’s Large language models. In terms of speed and efficiency Claude 2 model is highly competent to go head to head with ChatGPT.
When the comparison between both AI models took place after the release of The Claude opus precisely it had a slight advantage over ChatGPT. But afterwards towards May 2024 when another comparison test took place ChatGPT almost closed the gap. When they launched GPT-4o, a cross functional AI model, Anthropic quickly responded and launched Claude 3.5 in June 2024.
Based on reviews and searches carried out across different social media platforms and websites by tech gurus a comparison between these two models was put to test. Watching their performances up close and analysing the task performed by both models. And also knowing the limitations and advantages of both GPT-4o and Claude 3.5. And how they differ from their previous versions.
In This article we will explore the limitations and advantages of Claude 3.5 and GPT-4o so you can know which one of the models is best suited to your needs.
Side note: Claude 3.5 sonnet is my new tool for creating content and writing codes; sorry, GPT-4o:(.
The rise of Claude 3.5 and GPT-4o
Both Claude 3.5 and GPT-4o are programmed by Large language models and Linear mixed models alike. They are quite distinct in various ways. GPT-4o is more widely used and integrated with functions like generating images and Swift Internet access. On the contrary, claude 3.5 gives its users an affordable interface for programming applications and a wide syntax window that’s able to process massive information and data at a goal.
In order to relay a comparison of the the performance of an Artificial intelligence in respect to how responsive they are to Large Language Model. AI organisations make use of a standard performance metric table. Open AI standard metric performance on the GPT-4o exhibits impeccable results on specific Large Language Models, just like Mixed language Models. This shows an underrated level of intelligence and is a reference to the coding model’s coding ability.
On the contrary Anthropic Artificial Intelligence company organised a standard performance of Claude,ChatGPT, Gemini and Liama. And this publication portrays that Anthropic’s Claude 3.5 sonnet mode surpassed GPT-4o on most of the performance tests.
The standard performance metric table is highly reliable. Certified Machine learning professionals extrapolate that the Large language model overestimates test performance. Because the tech world is advancing Very fast and new AI models are designed and launched, perhaps they might adapt and evaluate the Data they are integrated with. As a result, these models get better with UX experience.
Claude 3.5 offers better partnerships for creativity.
When GPT-4o was launched to the market everyone uses it to generate images and content but its not advisable to use such resources to generate content as it follows AI strategies and Google rank maths doesn’t take kindly to that on the other hand Claude 3.5 is able to replicate a human tone content without following the regular AI pattern.
As long as genuine creativity is concerned Claude 3.5 offers authentic content that’s completely out of the box for AI detection tools to figure out.
And Claude 3.5 offers codes that’s More compatible with any industry third party app making it a more reliable partner for business.
Experiment 1: Comprehensive Writing
First of all, as an experienced content writer, I don’t wish for any Artificial intelligence model to be creative in constructing good content or replace my job:). My saving Grace as a writer is that so far so good The natural Large language model writing method continues to have the same pattern that can’t replace a human writer especially GPT-4o because it lacks the emotion and feelings to comprehend certain situations in order to give The desired result.
According to findings and researches carried out when both Large language models were asked to generate a story that entails dramatic twist. Claude 3.5’s story encompasses more or less the same writing strategy as GPT-4o, whose story twist was rather more dramatic.
As a writer you don’t want your content to have The usual AI written format. GPT-4o generic method of writing can’t give you that but Claude 3.5 will. So Claude 3.5 easily takes this experiment.
Experiment 2
Claude 3.5 is a better editing assistant than GPT-4o.
Rereading and correcting wrong facts or mistakes is one of the potentials of AI models, In theory. It can take Human editors long hours to edit a document or file, but it takes a few seconds to come up with results. In Fact, LLMs would give any answers even if there’s no need for an answer. In This process, they end up making things up. Claude 3.5 and GTP-4o were tested with this in mind, and we discovered that Claude 3.5 is a more reliable and eligible assistant than The GPT-4o.
Experiment 3: Quality review
Claude 3.5 and GPT-4o process information quite differently for instance if you Give both models a paragraph of any written article with intentional errors made on the article the Claude 3.5 Will catch up in no time and quickly point out and correct each error made on the article. The information and Data output of the article review From Claude 3.5 would be easier to grasp than that of GPT-4o review.
Don’t get it twisted. GPT-4o can also catch up with the errors as well but it might appear that it ends up misunderstanding the command prompt because it took the article as a directive message straight up rather than reviewing it. GPT-4o re-wrote each sentence in its own way instead of calling out the errors.
So it’s difficult to even figure out where the errors were made since each sentence of The article was recreated. This could actually be corrected with the science behind prompt engineering, but it’s amazing how Claude 3.5 knew what was required and got it done.
Experiment 4 (Coding )
If you are a beginner in the programing journey and decide to run a project of creating a video game, then Claude 3.5 is the right tool to use at the moment Because The set of instructions given by Claude 3.5 makes it crystal clear that you can come up with characters for your video game one at a time and later place them all together to be interactive. You can easily create different versions of each video game that you want.
Since it’s possible for you to see the result of The video game you created, you can change the graphics of the game to suit your preference. You can request The Claude 3.5 model to change The feature or colour of The characters in The video game and it can do that for you easily with the proper set of instructions.
As a beginner it is difficult to use GPT-4o to write instructions of codes. It would be difficult to comprehend GPT-4o coding instructions for newbies however if you are an expert or a pro and knows what you are after then maybe you can use GPT-4o for your project But it’s not advisable for newbies.
Based on online reviews from different programmers across the web, GPT-4o is quite powerful, but compared to the coding abilities of Claude 3.5 and
Friendly user experience of Claude 3.5 is better than that of GPT-4o. You can also use GPT-4o to write code for your video games but the UI doesn’t have a feature to review the game you created within it.
General overview:
While both LLMs and LMMs features like Factual questions, generating and processing images, suggestions for home interior design, counting of objects, Difficult reasoning and logic,creating and solving riddles, equations in physics, mathematical word problems, robotic approach to human feelings and emotions, value based challenge, project analysis and summarising context , Analysing documents and access to the Internet have a tie.