Generative AI is a field of artificial intelligence. Furthermore, it enables the creation of machines or algorithms that are capable of generating novel and creative outputs that are similar to those produced by humans. Generative AI models are trained on large datasets and use various techniques, such as deep learning, neural networks, and probabilistic models, to learn the underlying patterns and generate new data.
Generative AI has numerous applications. For instance, image and video generation, natural language processing, music composition, and more. One of the most popular examples of generative AI is Generative Adversarial Networks, that are neural networks that generate new samples by learning the probability distribution of a given dataset.
Generative AI has so many applications. For example, it can be used in creating realistic and lifelike virtual environments, generating personalized content for marketing and advertising, and even helping to automate the creative process in fields like art and design. However, there are also concerns about the potential misuse of generative AI, such as the creation of deepfakes or the use of AI-generated content to spread misinformation or propaganda.
- Dot Net Framework
- Power Bi
- Scratch 3.0