How many neurons in gpt3

GPT-3 is a highly advanced language model developed by OpenAI. With its massive 175 billion parameters, it has taken the field of NLP to new heights.

It is trained on a massive amount of diverse text data, allowing it to generate human-like text and perform various language tasks.
The exact number of neurons in GPT-3 is not publicly disclosed by OpenAI.
However, it is estimated to have approximately 60 to 80 billion neurons based on the number of parameters in its architecture.
The number of neurons in GPT-3 is significantly larger than previous models such as GPT-2, which had 1.5 billion parameters and around 50 billion neurons.
The larger number of neurons in GPT-3 allows it to learn more complex relationships and patterns in the text data it was trained on, leading to better performance on various language tasks.