was released by OpenAI Company

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Compared with GPT-1, it used a bigger dataset with more parameters to make a richer language model. As you can see in the picture below, the number of GPT-2 parameters increased to 1.5 billion, which was only 150 million in GPT-1! GPT-1 was introduced in 2018 and was trained on a huge BooksCorpus dataset GPT-3 introduced by OpenAI in 2020, was stronger and more rapid than previous GPTs with more parameters (around 116.5 times larger than GPT-2!) and decoder layers. The table below shows the differences between these three GPT models based on the number of parameters, decoder layers, context token size, hidden layers, and batch size.


GPT-3 introduced by OpenAI in 2020 GPT-3.5, Launched by OpenAI in early 2022, GPT-3.5 represented a notable step forward from its predecessor, GPT-3, incorporating increased parameters and improved processing abilities. This version was more adept and complex than GPT-3. It showcased Bosnia and Herzegovina Phone Number advancements in parameter volume, decoder capabilities, context understanding, and data efficiency. This progression emphasized the ongoing evolution within the GPT series. It highlighted the technological enhancements achieved from GPT-3 to GPT-3.5, setting the stage for the later introduction of ChatGPT-4. This iterative improvement underscores OpenAI’s commitment to pushing the boundaries of what’s possible with natural language processing technology. GPT-3.5, Launched by OpenAI in early 2022 ChatGPT-4, released by OpenAI in 2023, marked a significant advancement over its predecessors, boasting even more parameters and enhanced decoding capabilities than GPT-3.




5. This iteration is substantially larger and more complex, reflecting improvements in various aspects such as parameter count, decoder layers, context token capacity, hidden layers, and batch processing capabilities. The following table outlines the distinctions among the GPT models, emphasizing the evolutionary leap from GPT-3.5 to ChatGPT-4 regarding technological sophistication and performance metrics. Now it’s time to start talking about ChatGPT (Generative Pre-trained Transformer), which can act as a tool for creating text. We start with the ChatGPT definition and end with a complete list of ChatGPT statistics. What is ChatGPT? All There Is to Know About ChatGPT! To put it simply, ChatGPT is an assistant and a tool that generates texts via the use of GPT language models.