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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"

                    1958     Frank Rosenblatt proposed the perceptron, the world's first neural network
                    1964     First functioning generative AI—ELIZA chatbot was created

                             RNNs are designed to recognise patterns in sequences of data by maintaining a memory of
                    1982
                             previous inputs
                             Complex architecture LSTM—allows efficient processing of long sequences of data and
                    1997
                             identifies patterns
                    2011     IBM’s Watson was introduced

                    2013     Variational autoencoders (VAE) were created

                    2014     Creation of Generative Adversarial Networks (GAN), which were a breakthrough in generative AI
                             Diffusion models were introduced, representing a novel approach to Generative Modelling,
                    2015
                             example: Tensorflow
                    2016     Google DeepMind's AlphaGo was introduced

                    2017     Deep learning architecture—transformer was proposed
                    2018     OpenAI introduced Generative Pre-trained Transformers (GPT)

                    2019     GPT2 was introduced
                    2020     GPT3 was introduced

                    2021     Open AI launched DALL-E, an AI platform designed to generate images from textual descriptions
                             Two notable AI image-generating tools, the open-source Stable Diffusion and the proprietary
                    2022
                             Midjourney were introduced and ChatGPT was introduced

                             OpenAI released GPT-4, an advanced version of its GPT series. Also Microsoft Copilot (previously
                    2023
                             Bing Chat), Google Gemini (previously Google Bard), Adobe Firefly, Meta Llama were introduced

                 Generative AI vs Conventional AI

                 Generative AI and Conventional AI represent two different approaches in the field of artificial intelligence. The
                 difference between them is given in the following table:

                                              Generative AI                              Conventional AI


                  Goal          Generative AI creates new content that     Conventional AI analyses, processes, and
                                mimics the original content. This content   classifies data. It works to improve the
                                includes images, text, music, or other forms  accuracy, precision, recall, and speed within
                                of media.                                  the scope of the defined task.


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