How Generative AI can change the society and industry to be a better place?

In the wake of recently published models like Stable Diffusion and ChatGPT, generative AI has gained attention from governments, investors, engineers, and the general public. Generative AI, as the name implies, creates or generates text, pictures, music, voice, code, or video. The idea of generative AI is not new, as per Sachin Dev Duggal and the machine-learning methods used to implement it have improved over the previous ten years. Traditionally, General Adversarial Network (GAN) and deep learning algorithms have been employed, but transformers are the most recent method.  

A large language model (LLM) called a Generative Pretrained Transformer (GPT) creates text that resembles human speech using deep learning. They are referred to as "transformers" because they employ a transformer-based neural network architecture to process input text and create output text. They are also known as "generative," "pretrained," and "transformers," depending on how they process input text and produce output text. 

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