The field of artificial intelligence (AI) has been rapidly advancing in recent years, with language models such as GPT-3 (Generative Pre-trained Transformer 3) making headlines for their impressive abilities to generate human-like text. However, the architecture behind these models is often overlooked, despite being a crucial component of their success.
Enter GPT-4, the next iteration of the GPT series. While details about its architecture are still scarce, experts predict that it will build upon the success of its predecessors and push the boundaries of what is possible with AI language models.
At the heart of GPT-4’s architecture is the transformer, a type of neural network that has revolutionized the field of natural language processing (NLP).