Machine Learning
Generative Pre-trained Transformer 3 (GPT-3)
GPT-3 is a model that uses deep learning to create human-like text. "GPT-3's full version has a capacity of 175 billion machine learning parameters." This can be loosely contrasted with the 'Turing Natural Language Generation (T-NLG)' at 17 billion parameters and the 'Tangora' model with over 8 trillion parameters.
It has been stated that the "quality of the text generated by GPT-3 is so high that it can be difficult to determine whether or not it was written by a human". These algorithms can perform variety of tasks including summarizing texts and answering questions.
References:
- GPT-3:
https://en.wikipedia.org/wiki/GPT-3 - Open-AI - API:
https://openai.com/blog/openai-api/ - Explore the Open-AI:
https://beta.openai.com/overview - Basic Qiskit Syntax:
https://qiskit.org/textbook/ch-appendix/qiskit.html - Learn in Qiskit:
https://qiskit.org/learn/ - Qiskit:
https://qiskit.org - Qiskit Documentation:
https://qiskit.org/documentation/index.html