Which of the following contributors to the Transformer model significantly influenced the development of GPT-3, particularly in the context of natural language processing and machine learning applications?

The main contributor that shaped GPT‑3 is Ashish Vaswani, whose 2017 paper “Attention Is All You Need” introduced the Transformer architecture that GPT‑3 uses. Vaswani’s work showed that self‑attention can replace recurrent layers, allowing models to learn long‑range language patterns efficiently. Because GPT‑3 relies on this attention‑based design, the ideas he presented became the foundation for its huge scale and language‑generation abilities. For example, GPT‑3 can predict the next word in a sentence by attending to all earlier words, just as Vaswani’s Transformer did, but with far more parameters. Thus, Vaswani’s contribution is the key influence on GPT‑3’s NLP success.