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Timeline of Generative AI
Generative AI has been getting better and better over the years. Scientists have been working hard to improve
the technology using things like neural networks and deep learning. They've been trying out different ideas and
making big discoveries in how to make it work better. Now, Generative AI can do lots of cool stuff like writing
text, making pictures, and creating new things. It's been a long process of learning and making things better, but
now we can see all the amazing things it can do!
Timeline of Generative AI:
1956 John McCarthy coined the term
"Artificial Intelligence"
Frank Rosenblatt proposed the perceptron,
the world's first neural network 1958
First functioning generative AI—ELIZA
1964 chatbot was created
RNNs are designed to recognise patterns in
sequences of data by maintaining a memory 1982
of previous inputs
Complex architecture LSTM—allows efficient
1997 processing of long sequences of data and
identifies patterns
IBM’s Watson was introduced 2011
2013 Variational autoencoders (VAE) were
created
Creation of Generative Adversarial Networks
(GAN), which were a breakthrough in 2014
generative AI
Diffusion models were introduced,
2015 representing a novel approach to Generative
Modelling, example: Tensorflow
Google DeepMind's AlphaGo was introduced 2016
Deep learning architecture—transformer
2017 was proposed
OpenAI introduced Generative Pre-trained 2018
Transformers (GPT)
2019 GPT2 was introduced
GPT3 was introduced 2020
330 Touchpad Artificial Intelligence (Ver. 3.0)-IX

