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GPT-3 vs. GPT-4; Comparison of OpenAI Models

Lately, the new release of OpenAI, GPT-4, has come to attention. As per OpenAI, GPT-4 is their most upgraded version. That is designed to solve various complex queries. And make sure the inclusion of accuracy and high responsive abilities. 

Well, the question is, does GPT-4 actually better than GPT-3? Or it is only being overrated. So if you want to learn the detailed Comparison, Features, and Similarities of these particular OpenAI Models. Then Check out our Article below!

OpenAI GPT-3

Undoubtedly, OpenAI has encountered some commendable success in the last couple of months via GPT-1 and GPT-2. The Generative Pre Training Transformer has been proven as the game changer for the company. 

Surprisingly, GPT-3 has a lead of 175 Billion Parameters compared to the previous AI model. However, those AI models were made under affordable parameters of approximately 1 Billion. 

GPT-3 is the first and largest AI-Language Model. Hence, OpenAI introduced this in 2020 during Covid-19. Within a few weeks, it got remarkable reviews due to its exceptional capabilities. Moreover, it also has a vast number of computational resources and parameters. 

GPT-3 vs. GPT-4; Comparison of OpenAI Models
GPT-3 vs. GPT-4; Comparison of OpenAI Models

OpenAI trained GPT-3 till 2021 only, as it doesn’t have accessibility to improvise within every use. Moreover, it is also known as Text-Davinci-003.

Parameter Counts

According to the Parameter counts, Generative Pre Training Transformer, aka GPT-3, has almost 175 Billion Plus. However, it is way larger than the previous one. 

The Parameter helps enhance the quality of knowledge, and it is designed to keep increasing over time. Moreover, the number of parameters indicates the right amount of usage of Datasets in the particular AI Model.

Applications

The amount of Parameters shows that GPT-3 has a massive range of knowledge and efficiency. This is why it consists of a broad number of Applications that includes;

  • Language Translation
  • Text Generation
  • Summarization
  • Code 
  • Detection of Errors in Coding
  • Customer Management 

Capabilities 

GPT-3 is specifically trained to act humanly. It is a Deep Learning Language Model. Which can make some amazing predictions that have already helped millions of users out there.

It can write well-structured Poems for you, including Answering Your Algebraic Questions, to write any required code. Yet, in a few seconds. All you need to do is to train the software rightly so that it can understand your query better and perform irreplaceably.

OpenAI GPT-4

However, on a recent Tuesday of March 2023, OpenAI again introduces something new to the globe. They released another banger named GPT-4 to provide more thrill in the world of Artificial Intelligence. 

GPT-4 is an advanced version of the previous OpenAI Models. Hence they have majorly modified this model and have added some incredible features. That was never used before. 

Within a couple of weeks, it is mentioned as the new milestone of the current era. Which is definitely ready to solve your tons of problems within seconds. It has a deep learning development ability. That helps to act as highly convenient to talk and respond in a way its user will get impressed and satisfied instantly. 

It is surely trustworthy and reliable. Moreover, it is able to accept queries in the form of tunes, pictures, captions, and whatnot. Well, the most exciting part is its creativity. The people have experienced this by using it to;

  • Composes Music
  • Crafting
  • Write Fictional Scripts
  • Most Converting Product Descriptions

Performance

Before every release of an AI Model, OpenAI conducts a Bar exam. That helps them to identify the capabilities of their models and help them to opt for the righteous Marketing strategies.

However, GPT-4 successfully passes the exam with the top of 10%. Which is an incredible aspiration. However, the previous OpenAI modules vary below 10%. 

GPT-4 has the topmost performance ratio that allows it to mold as per the user’s requirements. It completely avoids twisted outputs and improves the work model along the way.

Moreover, OpenAI has admitted that GPT-4 is designed to perform with high steerability. It is able to adjust as per the user’s requirement. And the changes include;

  • Font
  • Voice
  • Response Style

Capabilities

GPT-4 is exceptionally able to deal with nuanced instructions. And it is distinctively way more reliable, cooperative, and creative. Even OpenAI has confessed; check out here!

GPT-4 has reached the point of high efficiency because of its multiple training and practice exams, such as Olympiads and Live Question Data Sets. 

So as per analysis, GPT-4 worked 40% better than the previous one and also passed the examination with Traditional Benchmarks.

Comparison of GPT-3 vs. GPT-4

Take a look at the concluded comparison of both AI Models, GPT-3 and GPT-4.

Capabilities of GPT-3 

GPT-3 is a direct AI model which is used to understand, generate, recognize, and conduct a human-like conversation. It is a Language Processing Model that also helps to translate into multiple languages, can create any fictional storyline, and is tended to respond with well-designed answers. 

It has been trained along with extensive datasets to provide more accurate results. 

Capabilities of GPT-4

However, the algorithm of GPT-4 works on the architecture of both GPT-3 and GPT-3.5. Somehow it is safe to say that the current model is a vast version of all winning previous models.

GPT-4 can accept visuals in the form of queries and has the broad sense to identify false and scammy information from the internet. By applying fine filters to obtain truth-oriented data.

Moreover, it has the flexibility to work according to the command of a user, yet it prevents any sort of illegal orders.

Final Thoughts! 

GPT-3 has limited access to generate content. However, GPT-4 has launched with a more extensive capability to generate interpret and high-quality text-based results.

However, it has not revolutionalized the world of Artificial Intelligence due to its particular limitation. Yet it is more costly and not that easy to use. So people have to spend a few hours to understand its algorithm and also must have a good amount of bucks to invest in it.

To read more such Tech related content, click on DigiAlps.com. We assure you that you’ll have a great time reading the latest and authentic content.

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Picture of Faizan Ali Naqvi
Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

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