Generative AI Timelines from GRU to ChatGPT

Understand different types of models in deep learning and data science

Amit Chauhan
Towards AI

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Generative AI has seen some remarkable developments in recent years. As researchers have explored the capabilities of machine learning models, new techniques and architectures have emerged that have the potential to revolutionize the way we create and interact with media. Researchers and developers have been creating a range of models that can generate text, images, and music, among other things. In this article, we will explore some of the most notable generative AI models, including their timelines and summaries. Generative AI has the potential to revolutionize many different fields, from language processing to computer vision to music generation. The technologies mentioned below represent some of the most significant developments in generative AI over the past few years, but they are by no means the only ones. With continued research and development, we can expect to see even more exciting advances in the field of generative AI in the years to come.

1. GRU (2014)

Gated Recurrent Unit (GRU) is a type of Recurrent Neural Network (RNN) which got introduced by Kyunghyun Cho et al. in 2014. GRU is particularly useful for modeling sequential data, such as natural language. The key innovation of…

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