Comparison With Previous Language Models

Generational pretrained transformer 3 (GPT-3) outperforms its predecessors in terms of size, language generation quality, and application space.

Having more than 175 billion parameters, GPT-3 is one of the largest language models ever built, dwarfing its predecessor, GPT-2. As a result, we can now generate language more accurately and efficiently, as well as accomplish a broader set of activities.

Text completion, translation, question answering, and summarization are just some of the many natural language processing tasks in which GPT-3 excels in comparison to earlier models like ELMo and BERT. Not only that, but it can produce writing that is nearly indistinguishable from that of a human.