How is GPT trained to generate coherent and contextually relevant responses?
GPT (Generative Pre-trained Transformer) is trained using a technique called unsupervised learning on a diverse range of text data. It learns to predict the next word in a sentence based on the words that came before it. Through this process, GPT develops an understanding of language structure, grammar, and context. This enables it to generate coherent and contextually relevant responses when given a prompt.
March 18, 2024