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Generative Pre-trained Transformer 3 (GPT-3) embraces and augments the GPT-2 model architecture, including pre-normalization, modified initialization, and reversible tokenization. It exhibits strong performance on many Natural Language Processing (NLP) tasks. It is a massive artificial neural network that takes help from deep learning to generate human-like text and is trained on huge text datasets with thousands of billions of words. The total number of weights the OpenAI Gpt-3 dynamically holds in its memory and utilizes to process every query is 175 billion.