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With Open AI releasing its avant-garde pre-trained language model -- GPT-3 has suddenly become an obsession for the machine learning community, where it can not only generate codes but also human-like stories. Along with its wide range of utilities, it has also surprised the developers and programmers with its generalised intelligence, which is relatively more advanced than the previous pre-trained language models. Previously, the NLP systems continued to struggle in learning from a few examples; however, with GPT-3, language models can significantly improve with even reaching competitiveness with prior advanced fine-tuning approaches. That being said, to use GPT-3 with 175 billion trainable parameters, developers and programmers must understand what's going on under the hood of the neural-network-powered language model. Not only can it be new and complex to understand for first-timers but can also be overwhelming with its big size.