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GPT-4: A gamechanger for artificial intelligence?

· 4 min read
GPT-4: A gamechanger for artificial intelligence?

If the rumors are true, GPT-4 will be released during spring 2023. Some believe the model has up to 100 trillion parameters, about 500 times as many as GPT-3, which had "only" 175 billion parameters. If this turns out to be true, GPT-4 will be much better at writing texts and potentially be a game-changer in artificial intelligence.

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Note that 100 trillion parameters have proven to be incorrect. Read the explanation below.
GPT-4: A Viral Case of AI Misinformation
For those of you wondering, GPT-4 won't have 100 trillion parameters

What are the parameters of a language model, and why are they important?

Parameters are essential to computer programs designed to understand and generate languages. Language models use mathematical models and algorithms to analyze and predict structures and patterns in language data.

When a language model is trained, it displays a large amount of data, e.g., a large collection of texts, and the program learns to generate text similar to what is found in the data volume. To do this, the language model must have some parameters that indicate how the model should work.

These parameters may include, for example, the number of layers in the model, the number of neurons in each layer, and the types of activation functions to be used. When a language model is trained, the parameters are adjusted so that the model can generate text similar to what is in the body of data. The more parameters a language model has, the more accurately it can predict which words will fall behind in a text.

Therefore, a language model's parameters play a crucial role in its performance and capacity. The more parameters a language model has, the more complex it can be and the better it can predict the structures and patterns of language data.

Although GPT-4 can be very powerful and advanced, it is still a computer program, not human intelligence. After all, GPT-4 could potentially be a game-changer in artificial intelligence, but we'll have to wait and see when it's released. Until then, we can only speculate what it will mean for the future of artificial intelligence.

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