GPT-3 : Use Cases, Advantages, and Limitations
Dec 13, 2022
The Generative Pre-trained Transformer 3 (GPT-3) is a deep learning-based language model that generates human-like text.
GPT-3 requires a small amount of input text to generate large volumes of relevant and sophisticated machine-generated text such as code, stories, poems, and so on.
That is why it has become such a trendy topic in natural language processing.
In this article, I will define GPT-3, as well as discuss its applications and significance.
Continue reading to learn about its applications and how it works.
I. About GPT 3:
GPT-3 is a machine learning model that describes itself as a friendly, self-taught, thinking and writing robot that can learn and improve on tasks without being explicitly programmed to do so.
Open AI released GPT-3 in 2020 as a better and larger successor to their previous language model (LM) GPT-2.
In terms of producing text that appears to be written by a human, GPT-3 outperforms all previous models.
With over 175 billion machine learning parameters, it is the largest neural network ever produced, while the largest trained language model prior to GPT-3 was Microsoft’s Turing NLG model, which had 10 billion parameters.