Generative Pre-trained Transformers (GPT) are only one example of the kind of cutting-edge language model that has altered human-machine interactions. This study explores how GPT and other language models may enable astonishingly human-like discussions, and it sheds insight on the difficulties that come along with this goal. GPT’s strength is in its ability to provide coherent and contextually appropriate replies because to its neural network-based design and intensive training on massive textual datasets. This article analyses the probable uses of language models like GPT in numerous areas, including healthcare, virtual assistants, education, and customer service. It also discusses important moral and societal issues related to language modelling, providing context for what it means to develop conversational machines that mimic human speech patterns.
Keywords: chatGpt, humans & all machines, language models, ethical considerations, machine learning, artificial intelligence, natural language processing, contextual understanding
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