On March 14, 2023, a new, fourth version of GPT was released.
GPT-4 is a refinement and improvement of its predecessors GPT-2 and GPT-3 and has greater power and accuracy in natural language processing.
New features and improvements in GPT-4 include more accurate text analytics, better ability to generate and process text, increased learning speed and efficiency, and more accurate understanding and use of context when processing text.
GPT-4 has the following features and improvements over GPT-3:
- Improved ability to process complex texts and understand their context.
- Greater accuracy and power in natural language generation, which will allow it to create more natural and human-like texts.
- Faster and more effective training, which will accelerate the development of new models and applications that can use GPT-4.
- The ability to create more complex and accurate answers to user queries based on the context of their question.
- A more accurate classification of the text, which will allow you to determine the topic and mood of the text more accurately and in detail.
- Improved ability to interact with other artificial intelligence and systems, which can expand its applications in various fields.
GPT-4 is a larger and more trained model than GPT-3.5, and uses the same architectures and training methods as GPT-3.5, but with more data.
The GPT-3.5 model has 175 billion parameters, making it the most advanced model for natural language generation. However, with the advent of GPT-4, the GPT-3.5 model, with its 175 billion parameters, took a back seat.
There are no official figures yet, but it is rumored that GPT-4 has between 500 billion and 1 trillion parameters.
As you can see, the GPT-4 rhyme is still not given, even though there seem to be such a huge number of parameters...
GPT-3 is already highly accurate in natural language generation and can respond to many types of queries. However, it still has its limitations and may not always provide the most accurate or complete answer to a complex question.
GPT-4 has more parameters, which increases the accuracy and power of its responses. However, like any model, GPT-4 also has its limitations, and its effectiveness will depend on the quality of the data used to train it and on specific tasks.
As you can see, it makes no difference.
One feature of natural language generation models like GPT-3 is the ability to generate hallucinations. In some cases, GPT-3 can generate texts that make no sense or contain inaccurate or incorrect statements.
Although GPT-4 is a more advanced natural language generation model, we can assume that it will also have the property of generating hallucinations, but to a lesser extent than previous versions of the model.
Well, if you want to learn how to use chat GPT and create your own projects thanks to it, sign up for a free GPT trial lesson at our ProgKids programming school for children.
Karen Konstantin
Progkids teacher
