Generative AI is a key branch of artificial intelligence. It uses advanced algorithms like GANs and Transformers to learn from existing data and create new, original content. While other AI technologies analyze data and make decisions, it has the ability to create something new. It is having a huge impact in various fields like medicine, art, business, education, and many applications are currently in practice, and its impact will increase in the future. New innovations related to generative AI are coming up all over the world. This technology is also growing rapidly in India, due to which there is a possibility of significant changes in the job market, and the demand for new skills will increase.
Here are the important things in this paragraph:
Introduction to Generative AI: Generative AI uses advanced algorithms to automatically generate human-like content. It is an important part of artificial intelligence.
Basic understanding: To understand how generative AI works, you need to know the broad scope of AI, machine learning, and deep learning.
Types of Machine Learning: There are two main types of machine learning models: Discriminative and Generative.
Generative AI Models: Powerful Transformer models like GANs (Generative Adversarial Networks) play a key role in generating generative AI language models.
Applications, Statistics, Limitations: Learn about the various applications of Generative AI, its related statistics, its shortcomings, and security challenges.
Future: The future of Generative AI is very promising. It is going to bring a lot of possibilities.
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