Future of Generative AI
Generative AI is a subfield of artificial intelligence. Whether it’s creating art, composing music, writing content, or designing products. AI is likely to be a more common tool in the creative process. It is expected that generative AI will play an instrumental role in accelerating research and development across various sectors. From generating new drug molecules to creating new design concepts in engineering.
Generative AI will help in platforms like research and development and it can generate text, images, 3D models, drugs, logistics, and business processes. The potential applications are vast. As we explore more about generative AI we get to know that the future of AI is vast and holds tremendous capabilities. AI not only assists us but also inspires us with its amazing creative capabilities.
What is Generative AI?
Nowadays as we all know the power of Artificial Intelligence is developing day by day, and after the introduction of Generative AI is taking creativity to the next level Generative AI is a subset of Deep learning that is again a part of Artificial Intelligence.
In this article, we will explore,
What is Generative AI? Examples, Definition, Models and limitations.
Generative AI helps to create new artificial content or data that includes Images, Videos, Music, or even 3D models without any effort required by humans. The advancements in LLM have led to the development of Generative AI.
Generative AI models are trained and learn the datasets and design within the data based on large datasets and Patterns. They can generate new examples that are similar to the training data. These models are capable of generating new content without any human instructions.
In simple words, It generally involves training AI models to understand different patterns and structures within existing data and using that to generate new original data.