Generative Pre-trained Transformer 3 (GPT-3) is a large language model (LLM) that uses deep learning to produce text that resembles human speech (output). It may also generate code, stories, poems, and other types of content in addition to text. It has become such a hot topic in the field of natural language processing due to these capabilities and factors (natural language processing NLP- – an essential sub-branch of data science). In May 2020, Open AI released GPT-3 as the replacement for GPT-2 , their prior language model (LM). It is regarded as being bigger and superior to GPT-2. In fact, when compared to other language models, the final version of OpenAI GPT-3 has roughly 175 billion trainable parameters, making it the largest model learned to date. This 72-page research paper  provides a thorough explanation of the characteristics and capabilities.  A huge language model (LM) is GPT-3. It can probabilistically predict which tokens from a predetermined vocabulary will appear ne