GPT-3, the third version of GPT, a large language model developed by OpenAI, has generated significant interest in the AI research community. Researchers and developers have been exploring its capabilities and limitations, with some viewing it as a significant advancement in natural language processing (NLP) while others express concerns about its scalability, performance, and potential misuse. The model's architecture is similar to that of GPT-2, but with significantly more parameters, making it one of the largest NLP models ever developed. While GPT-3 has shown impressive results on various benchmarks, including zero-shot, one-shot, and few-shot settings, its performance can be outperformed by fine-tuned SOTA models on some tasks. Additionally, there are concerns about the model's ability to distinguish between generated news stories and real ones, raising ethical questions about its potential use in misinformation campaigns. Despite these challenges, GPT-3 has demonstrated its potential for applications such as search engine optimization, medical diagnosis, resume writing, presentation writing, and more.