A peek inside the magical ChatGPT

The key component of the ChatGPT architecture is the transformer architecture, which uses a self-attention mechanism to weigh the importance of different words in a sentence when generating the next word. This is done by calculating the "attention scores" between each pair of words in the sentence. The attention scores are used to determine the importance of each word in the context of the sentence, and the model uses this information to generate the next word. The transformer architecture also includes a multi-head attention mechanism, which allows the model to attend to different parts of the input sentence at the same time. This allows the model to consider different combinations of words when generating the next word, which improves the coherence of the generated text.