We are more or less familiar with GPT. The full name of GPT is Generative Pre-trained Transformers. It’s a family of neural network models that use the Transformer architecture, and it’s artificial intelligence (AI) powering generative AI, which we can see in use at ChatGPT. GPT can read like a human and create pictures, music, and more.
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GPT also can conversationally answer questions. However, there are many versions of the GPT (1, 2, 3, 3.5, 4) with the upgraded version being more advanced than the previous one. For example, GPT 3.5 is more advanced than GPT 3, similarly, GPT 4 is more advanced than GPT 3.5. Today’s post is about the difference between GPT 3 and GPT 4.
GPT 3 is the third-generation GPT. On the other hand, GPT 4 is the fourth generation GPT. GPT 3 has 175 billion parameters, while GPT 4 has 100 trillion parameters. Due to more or less of this parameter, their working efficiency is different. GPT 4 can solve relatively more complex problems quickly and almost accurately.
Among the two types of GPT, GPT 3 can answer questions, translate languages and summarize a text. On the other hand, the GPT 4 AI model can generate various data, images and even music. So GPT 4 is more efficient and powerful than GPT 3. The main reason for this is the variation in the amount of this parameter.
The use of GPT in various tasks of daily life is increasing. GPT 3 has been used for various purposes including creating chatbots, and virtual assistants. It is also being used for research in areas such as natural language processing and machine learning. On the other hand, GPT 4 is used for more advanced purposes. It has further enhanced work efficiency in existing areas such as chatbots and virtual assistants. Even GPT 4 has removed many of the limitations of GPT 3.