The world of AI has been making extensive progress recently and one name that attributes to that steep success is ChatGPT. Everyone and their mother have been talking about it and while there is uproar in the way people are generating content using this platform, you can’t deny the fact that most people don’t even know what ChatGPT is and what it entails.
ChatGPT is OpenAI’s chatbot-based AI tool that enables users to enter a prompt and based on it, the tool generates relevant content. The answer to the prompt depends on the tool’s data and training, which is where the concept of GPT or Generative Pre-training Transformer comes into play.
More on the significance of GPT and its implications in the day-to-day life of people will be discussed in this guide.
What is GPT?
It goes without saying that if we want to know more about the significance of GPT or the Generative Pre-training Transformer; we have to know its basics first.
So, what is GPT?
GPT is attributed as a large language model (LLM) that supports the advent of generative artificial intelligence, wherein the users have to enter their prompt and the AI tool generates the content in response. Much like how automated chatbots work.
The popularity of GPT and its concept came into being after OpenAI released ChatGPT in 2018. The main significance of the GPT architecture is not only to streamline the way the tool generates the responses but also to ensure that it sounds human-like.
The advent of GPT wasn’t a one-day thing. Instead, it took years to train GPT and understand and learn ways to predict what the user would want and reply with relevant content.
How has GPT Evolved over the Years?
When you open ChatGPT’s official website now, you’d be surprised that there are two tabs – GPT 3.5 (free version) and GPT 4 (paid version).
Was it like this all the time? The simple answer is No. ChatGPT has evolved through the years. Ever since the release of GPT in 2018, the AI language model has undergone a lot of evolution and changes over the next five years and we now finally have one of the most advanced versions of GPT, which is GPT 4.
Let us take a look at the evolution of the GPT tool:
GPT was initially released in 2018 by OpenAI, which could foresee tokens in a row and answer people’s queries without any hassle.
It was initially labeled as GPT-1 and laid the foundation for the prospect of generative text tasks and the future of AI bots via ChatGPT.
It had 110 million parameters and was trained on a dataset of 40GB of text. GPT-1 was able to perform a variety of natural language processing tasks, such as text summarization, question answering, and translation
The second model of GPT, GPT-2 was released in 2019 and was an improved and larger model than GPT-1 with 1.5 billion parameters. It also was trained on a dataset of 1.56TB of text, which meant better accuracy with the answers it generated for the users.
GPT-2 was significantly more powerful than GPT-1 and was able to perform even more complex natural language processing tasks. It was also able to generate more realistic and coherent text.
However, there were questions raised by the users related to the authenticity and the ethics behind the content generation using the tool. Due to these concerns, OpenAI initially did not release the fully trained model but later made it available to the public. GPT-2 showcased the power of large-scale language models for a wide range of applications.
The third installment came with GPT-3, which was released in June 2020. The language model was trained with 175 billion parameters and was trained on a dataset of 500GB of text, making it a more advanced and powerful GPT model.
It demonstrated even more impressive language capabilities, including the ability to perform various tasks like translation, question-answering, text completion, and more, often with only a few examples as prompts.
However, when users used this version, they found that the tool lacked a certain level of coherence and creativity and often generated similar kinds of content for the same prompt.
4. GPT 3.5
This version was released in 2021 and is currently in use under ChatGPT’s free version. It is not only coherent but responds pretty well to the comprehensive and subjective prompts that you enter.
What’s great about this particular version is the efficiency. The architecture is an upgrade from the previous GPT 3.0 but comes with a lot more data but the cutoff of the data is 2021, which means that it doesn’t have access to the latest and updated data.
5. GPT 4.0
The most advanced version of GPT that is currently available in the format of ChatGPT is GPT 4.0. It was released in 2023 and is currently available with the paid version of ChatGPT, which is their $20/month Plus subscription.
GPT 4 has 1.37 trillion parameters and is trained on a dataset of 1.5TB of text. It is the largest and most powerful GPT model yet. It can perform even more complex natural language processing tasks than GPT-3 and can generate text that is even more realistic and coherent.
Besides the staple and official GPT models that we have mentioned here, what’s great is that some organizations on a global scale have even created GPT-based models, further adding to the progress that we are making in the field of AI.
What is the Significance of GPT?
If you are curious to know what GPT does, you aren’t the only person. In hindsight, if you have used ChatGPT, you’d probably know what the tool does and why it has grown to the level of fame that it does.
GPT models can be used to perform a variety of tasks, including:
- Text generation – With this, the users can generate a variety of text, including creative ones like poems, scripts, etc., and professional ones like articles, blogs, etc.
- Question answering – If you are stuck and have confusion regarding a question that has been in your mind, the GPT model helps solve those questions for you in no time at all.
- Code completion – Not just text, GPT models are trained to help you sort out your coding needs too. From creating a code to debugging one, this tool takes care of it all in no time at all.
- Natural language processing – GPT models can be used to perform a variety of natural language processing tasks, such as sentiment analysis, topic modeling, and named entity recognition.
Most of the GPT models that we know of, especially the OpenAI one is currently still in development. This means that there are a lot more advancements to these models that we have to witness down the line. It could be in a few years or it could be in the next few months too.
What are the Limitations of GPT in ChatGPT?
With the benefits and the upsides of GPT that we have discussed so far, it goes without saying that we must look at the other side of the coin too.
Some of the limitations include:
- It can be biased: ChatGPT is trained on a massive dataset of text and code, which may contain biases. This means that ChatGPT may sometimes generate biased responses.
- It can be inaccurate: ChatGPT is not always accurate, especially when it is asked to answer complex questions or to generate text on a topic that it is not familiar with.
- It can be repetitive: ChatGPT can sometimes repeat itself, especially when it is asked to generate text on a topic that it is not familiar with.
- It can be slow: ChatGPT can be slow to respond, especially when it is asked to generate text on a complex topic.
- It can be expensive: ChatGPT is a commercial product, which means that it can be expensive to use. GPT 4.0, which is the latest innovation from OpenAI is under their paid model, which costs $20/month for you to access.
The limitations of ChatGPT depict the limitations of GPT as well, so it’s safe to say that they are the same, irrespective of the version you are discussing.
Overall, we can’t deny the fact that GPT is a powerful AI architecture and has revolutionized the way people leverage artificial intelligence and generative text at the moment. But, we need to understand that it is a language model at the end of the day and there are certain limitations that we have to pay close attention to.
GPT is continually evolving and with OpenAI’s developers consistently working on advancing its features and functionalities, it wouldn’t be long until we have access to an even more advanced version of GPT shortly. If it does happen, you can be assured that we will be covering that and comparing it with the current models of GPT.