The answer
It is trained on massive datasets to predict the next word, pixel, or token, learning the underlying distribution of the data.
It is trained on massive datasets to predict the next word, pixel, or token, learning the underlying distribution of the data.
Deep Learning is a specialized branch of Machine Learning that uses deep neural networks to process unstructured data.
Recent advances in Transformer architectures and massive computing power have enabled models like GPT-4 to generate human-like content.
No, classical ML models can run efficiently on standard CPUs.
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